We will explain and apply in R the Permutation-Based Cluster-Mass method proposed by Maris and Oostenveld, 2007 and developed in R by Frossard and Renaud, 2018, using EEG data. The Cluster-Mass is computed considering the time series of one channel (Temporal Cluster-Mass) and the time series of multiple channels (Spatial-Temporal Cluster-Mass). Finally the All-Resolution Inference from Rosenblatt et al. 2018 is applied in order to compute the lower bound for the true discovery proportion inside the clusters computed.
First of all, you need to install and load the following packages:
#devtools::install_github("angeella/ARIeeg")
#devtools::install_github("bnicenboim/eeguana")
#devtools::install_github("jaromilfrossard/permuco")
library(ARIeeg)
library(dplyr)
library(eeguana)
library(ggplot2)
library(tidyr)
library(purrr)
library(abind)
library(permuco4brain)
library(permuco)
library(hommel)
library(plotly)
library(tidyverse)
The Dataset from the package ARIeeg is an ERP experiment composed by:
We have one observation for each subject and each stimulus. You can load it using:
load(system.file("extdata", "data_eeg_emotion.RData", package = "ARIeeg"))
We transform the data as eeg_lst class object from the package eeguana:
data = utilsTOlst(data=dati)
is_eeg_lst(data)
## [1] TRUE
and we drop off the final \(5\) channels:
chan_to_rm <- c("RM" , "EOGvo" ,"EOGvu"
, "EOGhl", "EOGhr")
data <-
data %>%
select(-one_of(chan_to_rm))
Finally, we segment the data and select two conditions, i.e., disgust face and object:
data_seg <- data %>%
eeg_segment(.description %in% c(3,5),
lim = c(min(dati$timings$time), max(dati$timings$time))
) %>% eeg_baseline() %>%
mutate(
condition =
description
) %>%
select(-c(type,description))
Some plot to understand the global mean difference between the two conditions:
A<-data_seg %>%
select(Fp1,Fp2, F3, F4) %>%
ggplot(aes(x = .time, y = .value)) +
geom_line(aes(group = condition)) +
stat_summary(
fun = "mean", geom = "line", alpha = 1, size = 1.5,
aes(color = condition),show.legend = TRUE
) +
facet_wrap(~.key) +
geom_vline(xintercept = 0, linetype = "dashed") +
geom_vline(xintercept = .17, linetype = "dotted") +
theme(legend.position = "bottom")+
scale_color_manual(labels = c("Disgust", "Object"), values = c("#80bfff", "#ff8080"))
ggplotly(A)
The aim is to test if the difference of brain signal during the two conditions is different from \(0\) for each time points, i.e., \(500\). If the full set of channels is considered, we have also test for each channel, i.e., \(27\), returning a total number of tests equals \(500 \cdot 27\). Therefore, we have \(500\) or \(500 \cdot 27\) statistical tests to perform at group-level, so considering the random subject effect. The multiple testing problem is then obvious, and correction methods as Bonferroni or similar don’t capture the time(-spatial) correlation structure of the statistical tests, the cluster mass method, proposed by Maris and Oostenveld, 2007, is then used. It is based on permutation theory, and it gains some power respect to other procedure correcting at level of (spatial-)temporal cluster instead of at level of single tests. It is similar to the cluster mass in the fMRI framework, but in this case, the voxels, i.e., the single object of the analysis, are expressed in terms of time-points or in terms of combination time-points/channels. The method is then able to gain some power respect to some traditional conservative FWER correction method exploiting the (spatial-)temporal structure of the data.
The cluster mass method is based on the Repeated Measures Anova, i.e.,
\[ y = 1_{N \times 1} \mu + \eta X^{\eta} + \pi X^{\pi} + \eta \pi X^{\eta \pi} + \epsilon \]
where \(1_{N \times 1}\) is a matrix with ones and
Therefore, \(y \sim (1\mu + X^{\eta} \eta, \Sigma)\), \(\pi \sim (0, \sigma^2_{\pi} I_{nsubj})\) and \(\eta \pi \sim (0,\text{cov}(\eta \pi))\).
We want to make inference on \(\eta\), such that \(H_0: \eta = 0\) vs \(H_1: \eta \ne 0\). We do that using the F statistic, i.e.,
\[ F = \dfrac{y^\top H_{X^{\eta}} y / (n_{stimuli} - 1)}{ y^\top H_{X^{\eta \pi}}y/(n_{stimuli} -1)(n_{subj} -1)} \] where \(H_{X}\) is the projection matrix, i.e., \(H_{X} = X(X^\top X)^{-1} X^\top\). In order to compute this test, we use an alternative definition of \(F\) based on the residuals:
\[ F_r = \dfrac{r^\top H_{X^{\eta}} r / (n_{stimuli} - 1)}{ r^\top H_{X^{\eta \pi}}r/(n_{stimuli} -1)(n_{subj} -1)} \]
where \(r = (H_{X^{\eta}} + H_{X^{\eta\pi}})y\). For further details, see Kherad Pajouh and Renaud, 2014.
So, let the group of permutation, including the identity transformation, \(\mathcal{P}\), we use \(r^\star = P r\), where \(P \in \mathcal{P}\) to compute the null distribution of our test, i.e., \(\mathcal{R}\), and then the p-value, i.e.,
\[ \text{p-value} = \dfrac{1}{B} \sum_{F^\star_r \in \mathcal{R}} \mathbb{I}(|F^\star_r| \ge |F_r|) \]
if the two-tailed is considered, where \(F^\star_r = f(r^\star)\).
We have this model for each time point \(t \in \{1, \dots, 500\}\) and each channel, so finally we will have \(n_{\text{time-points}} \times n_{\text{channels}}\) statistical tests/p-values (raw).
This method has been proposed by Maris and Oostenveld, 2007 and is commonly implemented in specialised software of EEG data analysis. It relies on a continuity argument that implies that an effect will appear into clusters of adjacent timeframes. Based on all time-specific statistics, we form these clusters using a threshold \(\tau\) as follows
Example of cluster mass EEG from Frossard, 2019
All the adjacent time points for which the statistics are above this threshold define one cluster \(C_i\) for \(i \in \{1, \dots, n_C\}\), where \(n_C\) is the number of clusters found. We assign to each time point in the same cluster \(C_i\), the same cluster-mass statistic \(m_i = f(C_i)\) where \(f\) is a function that aggregates the statistics of the whole cluster into a scalar; typically the sum of the \(F\) statistics or the sum of squared of the \(t\) statistics. The cluster-mass null distribution \(\mathcal{M}\) is computed by repeating the process described above for each permutation. The contribution of a permutation to the cluster-mass null distribution is the maximum over all cluster-masses for this permutation. To test the significance of an observed cluster Ci, we compare its cluster-mass \(m_i = f(C_i)\) with the cluster-mass null distribution \(\mathcal{M}\). The p-value of the effect at each time within a cluster \(C_i\) is the p value associated with this cluster, i.e.
\[ p_i = \dfrac{1}{n_P} \sum_{m_i^\star \in \mathcal{M}} 1\{m_i^\star \ge m_i\} \]
where \(m_i^\star\) is computed considering the permuted statistic. This method makes sense for EEG data analysis because if a difference of cerebral activity is believed to happen at a time \(s\) for a given factor, it is very likely that the time \(s + 1\) (or \(s - 1\)) will show this difference too.
In this case, we will use the theory of graph, where the vertices represent the channels, and the edges represent the adjacency relationship. The adjacency must be defined using prior information, therefore the three-dimensional Euclidean distance between channels is used. Two channels are defined adjacent if their Euclidean distance is less than a threshold \(\delta\), where \(\delta\) is the smallest euclidean distance that produces a connected graph. This is due to the fact that a connected graph implies no disconnected sub-graph. Having sub-graphs implies that some tests cannot, by design, be in the same cluster, which is not a useful assumption for this analysis. (Frossard and Renaud, 2018; Frossard, 2019).
Then, having the spatial adjacency definition, we need to define the temporal one. We reproduce this graph \(n_{\text{time-points}}\) times, the edges between all pairs of two vertices (tests) are associated with the same electrode when they are temporally adjacent. The final graph has a total of vertices equals to the number of tests (\(n_{\text{channels}} \times n_{\text{time-points}}\)). The following figure represents the case of \(64\) channels and \(3\) temporal measures:
Example of graph of adjacency from Frossard, 2019
We then delete all the vertices in which statistics are below a threshold, e.g., the \(95\) percentile of the null distribution of the \(F\) statistics. So, we have a new graph composed of multiple connected components. Then, each connected component is interpreted as a spatial-temporal cluster. Finally, for each connected component, we compute the cluster-mass statistic using the sum (or sum of squares) of statistics of that particular connected component.
The cluster-mass null distribution is computed by permutations while maintaining spatial-temporal correlations among tests. Permutations must be performed without changing the position of electrodes nor mixing time-points. Concretely, after transforming the responses using the permutation method in Kherad Pajouh and Renaud, 2014, they are sorted in a three-dimensional array. It has the design (subjects \(\times\) stimuli) in the first dimension, time in the second one and electrodes in the third one. Then, only the first dimension is permuted to create a re-sampled response (or 3D array). Doing so, it does not reorder time-points, neither electrodes, therefore, the spatial-temporal correlations are maintained within each permuted sample.
In R, all of this is possible thanks to the permuco and permuco4brain packages developed by Frossard and Renaud, 2018.
So, we select one channel from our dataset, e.g. the Fp1:
Fp1 <- data_seg %>% select(Fp1)
signal_Fp1 <- Fp1%>%
signal_tbl()%>%
group_by(.id)%>%
nest()%>%
mutate(data = map(data,~as.matrix(.x[-1])))%>%
pull(data)%>%
invoke(abind,.,along = 2)%>%
aperm(c(2,1))
dim(signal_Fp1)
## [1] 40 500
design <-
segments_tbl(Fp1)%>%
select(.subj, condition)
dim(design)
## [1] 40 2
f <- signal_Fp1 ~ condition + Error(.subj/(condition))
Thanks to the permuco package, we can apply the temporal cluster-Mass for the channel Fp1:
lm_Fp1 <- clusterlm(f,data = design)
print(lm_Fp1)
## Effect: condition.
## Alternative Hypothesis: two.sided.
## Statistic: fisher(1, 19).
## Resample Method: Rd_kheradPajouh_renaud.
## Number of Dependant Variables: 500.
## Type of Resample: .
## Number of Resamples: 5000.
## Multiple Comparisons Procedure: clustermass.
## Threshold: 4.38075.
## Mass Function: the sum.
## Table of clusters.
##
## start end cluster mass P(>mass)
## 1 40 40 5.834359 0.8990
## 2 46 48 15.621750 0.8066
## 3 136 139 20.628700 0.7444
## 4 142 144 18.238758 0.7758
## 5 153 154 9.661613 0.8782
## 6 161 246 2403.135136 0.0010
## 7 314 320 56.329115 0.3568
## 8 336 341 35.300331 0.5548
## 9 351 352 9.153198 0.8908
## 10 363 367 29.083554 0.6340
## 11 376 383 63.884839 0.3124
## 12 408 421 80.330852 0.2430
and the corresponding plot:
plot(lm_Fp1)
However, our significant cluster says only that at least one test is different from \(0\), we don’t know how many tests/time-points are significant (spatial specificity paradox). So, we can apply ARI to understand the lower bound of the number of true discovery proportion. The cluster is composed by the time points from \(161\) to \(246\), i.e., the size of the cluster is equal to \(86\).
praw <- lm_Fp1$multiple_comparison$condition$uncorrected$main[,2]
cluster <- c(161:246)
discoveries(hommel(praw), ix = cluster)
## [1] 53
Therefore, we have at least \(62\%\) of true active time points in the cluster computed.
signal <-
data_seg%>%
signal_tbl()%>%
group_by(.id)%>%
nest()%>%
mutate(data = map(data,~as.matrix(.x[-1])))%>%
pull(data)%>%
invoke(abind,.,along = 3)%>%
aperm(c(3,1,2))
dim(signal)
## [1] 40 500 27
design <-
segments_tbl(data_seg)%>%
select(.subj, condition)
dim(design)
## [1] 40 2
graph <- position_to_graph(channels_tbl(data_seg), name = .channel, delta = 53,
x = .x, y = .y, z = .z)
plot(graph)
f <- signal ~ condition + Error(.subj/(condition))
Finally, run the main function:
model <- permuco4brain::brainperm(formula = f,
data = design,
graph = graph,
np = 5000,
multcomp = "clustermass",
return_distribution = TRUE)
## Computing Effect:
## 1 (condition) of 1. Start at 2020-05-20 23:55:43.
where np indicates the number of permutation.
Then, we can analyze the output:
print(model)
## Effect: condition.
## Alternative Hypothesis: two.sided.
## Statistic: fisher(1, 19).
## Resample Method: Rd_kheradPajouh_renaud.
## Number of Dependant Variables: 13500.
## Type of Resample: permutation.
## Number of Resamples: 5000.
## Multiple Comparisons Procedure: clustermass.
## Threshold: 4.38075.
## Mass Function: the sum.
## Table of clusters.
##
## Cluster id First sample Last sample N. chan. Main chan. Main chan. length
## 1 1 1 4 3 Fz 4
## 2 2 2 6 2 O2 5
## 3 3 3 6 1 F7 4
## 4 4 10 10 1 F8 1
## 5 5 18 19 1 Pz 2
## 6 6 25 27 1 T7 3
## 7 7 29 30 1 F8 2
## 8 8 38 41 1 F3 4
## 9 9 39 41 2 Pz 3
## 10 10 40 40 1 Fp1 1
## 11 11 40 44 1 T7 5
## 12 12 45 49 1 F4 5
## 13 13 46 48 1 Fp1 3
## 14 14 47 49 1 P4 3
## 15 15 48 49 1 C4 2
## 16 16 51 52 1 T7 2
## 17 17 61 68 3 P3 8
## 18 18 70 75 3 PO8 6
## 19 19 71 73 1 Fp2 3
## 20 20 83 86 1 C4 4
## 21 21 83 88 2 T7 6
## 22 22 96 105 4 F3 (2) 8
## 23 23 101 108 3 O2 (2) 6
## 24 24 110 117 6 C3 (2) 8
## 25 25 115 117 1 P8 3
## 26 26 125 126 1 F7 2
## 27 27 128 137 4 P8 9
## 28 28 133 135 2 C3 3
## 29 29 136 139 2 Fp1 4
## 30 30 137 139 2 PO7 3
## 31 31 142 144 1 Fp1 3
## 32 32 146 500 27 P7 343
## 33 33 148 157 8 C4 (3) 9
## 34 34 148 152 1 P7 5
## 35 35 153 154 1 Fp1 2
## 36 36 314 320 1 Fp1 7
## 37 37 336 341 1 Fp1 6
## 38 38 351 352 1 Fp1 2
## 39 39 363 367 1 Fp1 5
## 40 40 376 383 1 Fp1 8
## 41 41 408 421 1 Fp1 14
## N. test Clustermass P(>mass)
## 1 8 4.824842e+01 0.9956
## 2 8 5.655352e+01 0.9928
## 3 4 2.161425e+01 0.9998
## 4 1 4.595571e+00 1.0000
## 5 2 9.160799e+00 1.0000
## 6 3 1.727826e+01 1.0000
## 7 2 9.953708e+00 1.0000
## 8 4 2.247954e+01 0.9998
## 9 4 1.841798e+01 0.9998
## 10 1 5.834359e+00 1.0000
## 11 5 3.514078e+01 0.9984
## 12 5 3.062193e+01 0.9992
## 13 3 1.562175e+01 1.0000
## 14 3 1.855438e+01 0.9998
## 15 2 1.046127e+01 1.0000
## 16 2 1.091898e+01 1.0000
## 17 13 9.673299e+01 0.9742
## 18 16 9.924648e+01 0.9730
## 19 3 1.701493e+01 1.0000
## 20 4 2.614448e+01 0.9992
## 21 10 7.604927e+01 0.9846
## 22 26 1.750308e+02 0.9306
## 23 17 1.039216e+02 0.9710
## 24 35 2.762222e+02 0.8670
## 25 3 1.367199e+01 1.0000
## 26 2 9.355923e+00 1.0000
## 27 27 1.703500e+02 0.9340
## 28 5 2.598810e+01 0.9992
## 29 6 3.007729e+01 0.9992
## 30 4 1.807287e+01 0.9998
## 31 3 1.823876e+01 0.9998
## 32 4788 1.041780e+05 0.0002
## 33 54 4.224551e+02 0.7798
## 34 5 3.646500e+01 0.9982
## 35 2 9.661613e+00 1.0000
## 36 7 5.632912e+01 0.9930
## 37 6 3.530033e+01 0.9984
## 38 2 9.153198e+00 1.0000
## 39 5 2.908355e+01 0.9992
## 40 8 6.388484e+01 0.9906
## 41 14 8.033085e+01 0.9834
We have only one significant cluster (32), with p-value equals to \(0.0002\). It is composed by \(27\) channels (the total set), with main channels P7. You can see in details the components of this cluster in
names(model$multiple_comparison$condition$clustermass$cluster$membership[which(as.vector(model$multiple_comparison$condition$clustermass$cluster$membership)==32)])
## [1] "O2_146" "O2_147" "O2_148" "O2_149" "O2_150" "O2_151" "Pz_151"
## [8] "O2_152" "Pz_152" "O1_153" "O2_153" "Pz_153" "O1_154" "O2_154"
## [15] "Pz_154" "O1_155" "O2_155" "Pz_155" "O1_156" "O2_156" "Pz_156"
## [22] "O1_157" "O2_157" "Pz_157" "P7_158" "O1_158" "Pz_158" "P7_159"
## [29] "O1_159" "Pz_159" "F4_160" "P7_160" "PO7_160" "Pz_160" "Fp1_161"
## [36] "Fp2_161" "F4_161" "C4_161" "T7_161" "CP2_161" "P7_161" "PO7_161"
## [43] "Pz_161" "Fp1_162" "Fp2_162" "F4_162" "F7_162" "F8_162" "FC2_162"
## [50] "C4_162" "T7_162" "CP2_162" "P7_162" "P8_162" "PO7_162" "Cz_162"
## [57] "CPz_162" "Pz_162" "Fp1_163" "Fp2_163" "F4_163" "F8_163" "FC2_163"
## [64] "C4_163" "T7_163" "CP2_163" "P7_163" "P8_163" "PO7_163" "Fz_163"
## [71] "FCz_163" "Cz_163" "CPz_163" "Pz_163" "Fp1_164" "Fp2_164" "F4_164"
## [78] "F8_164" "FC1_164" "FC2_164" "C4_164" "T7_164" "CP2_164" "P7_164"
## [85] "P8_164" "PO7_164" "PO8_164" "Fz_164" "FCz_164" "Cz_164" "CPz_164"
## [92] "Pz_164" "Fp1_165" "Fp2_165" "F3_165" "F4_165" "F8_165" "FC1_165"
## [99] "FC2_165" "C4_165" "T7_165" "CP1_165" "CP2_165" "P7_165" "P8_165"
## [106] "PO7_165" "PO8_165" "O1_165" "O2_165" "Fz_165" "FCz_165" "Cz_165"
## [113] "CPz_165" "Pz_165" "Fp1_166" "Fp2_166" "F3_166" "F4_166" "F8_166"
## [120] "FC1_166" "FC2_166" "C4_166" "T7_166" "CP1_166" "CP2_166" "P7_166"
## [127] "P8_166" "PO7_166" "PO8_166" "O1_166" "O2_166" "Fz_166" "FCz_166"
## [134] "Cz_166" "CPz_166" "Pz_166" "Fp1_167" "Fp2_167" "F3_167" "F4_167"
## [141] "F8_167" "FC1_167" "FC2_167" "C3_167" "C4_167" "T7_167" "CP1_167"
## [148] "CP2_167" "P7_167" "P8_167" "PO7_167" "PO8_167" "O1_167" "O2_167"
## [155] "Fz_167" "FCz_167" "Cz_167" "CPz_167" "Pz_167" "Fp1_168" "Fp2_168"
## [162] "F3_168" "F4_168" "F8_168" "FC1_168" "FC2_168" "C3_168" "C4_168"
## [169] "T7_168" "CP1_168" "CP2_168" "P7_168" "P8_168" "PO7_168" "PO8_168"
## [176] "O1_168" "O2_168" "Fz_168" "FCz_168" "Cz_168" "CPz_168" "Pz_168"
## [183] "Fp1_169" "Fp2_169" "F3_169" "F4_169" "F8_169" "FC1_169" "FC2_169"
## [190] "C3_169" "C4_169" "T7_169" "CP1_169" "CP2_169" "P7_169" "P8_169"
## [197] "PO7_169" "PO8_169" "O1_169" "O2_169" "Fz_169" "FCz_169" "Cz_169"
## [204] "CPz_169" "Pz_169" "Fp1_170" "Fp2_170" "F3_170" "F4_170" "F8_170"
## [211] "FC1_170" "FC2_170" "C3_170" "C4_170" "T7_170" "CP1_170" "CP2_170"
## [218] "P7_170" "P8_170" "PO7_170" "PO8_170" "O1_170" "O2_170" "Fz_170"
## [225] "FCz_170" "Cz_170" "CPz_170" "Pz_170" "Fp1_171" "Fp2_171" "F3_171"
## [232] "F4_171" "F8_171" "FC1_171" "FC2_171" "C3_171" "C4_171" "T7_171"
## [239] "CP1_171" "CP2_171" "P7_171" "P8_171" "PO7_171" "PO8_171" "O1_171"
## [246] "O2_171" "Fz_171" "FCz_171" "Cz_171" "CPz_171" "Pz_171" "Fp1_172"
## [253] "Fp2_172" "F3_172" "F4_172" "F8_172" "FC1_172" "FC2_172" "C3_172"
## [260] "C4_172" "T7_172" "T8_172" "CP1_172" "CP2_172" "P7_172" "P8_172"
## [267] "PO7_172" "PO8_172" "O1_172" "O2_172" "Fz_172" "FCz_172" "Cz_172"
## [274] "CPz_172" "Pz_172" "Fp1_173" "Fp2_173" "F3_173" "F4_173" "F8_173"
## [281] "FC1_173" "FC2_173" "C3_173" "C4_173" "T7_173" "T8_173" "CP1_173"
## [288] "CP2_173" "P7_173" "P8_173" "PO7_173" "PO8_173" "O1_173" "O2_173"
## [295] "Fz_173" "FCz_173" "Cz_173" "CPz_173" "Pz_173" "Fp1_174" "Fp2_174"
## [302] "F3_174" "F4_174" "F7_174" "F8_174" "FC1_174" "FC2_174" "C3_174"
## [309] "C4_174" "T7_174" "T8_174" "CP1_174" "CP2_174" "P7_174" "P8_174"
## [316] "PO7_174" "PO8_174" "O1_174" "O2_174" "Fz_174" "FCz_174" "Cz_174"
## [323] "CPz_174" "Pz_174" "Fp1_175" "Fp2_175" "F3_175" "F4_175" "F7_175"
## [330] "F8_175" "FC1_175" "FC2_175" "C3_175" "C4_175" "T7_175" "T8_175"
## [337] "CP1_175" "CP2_175" "P7_175" "P8_175" "PO7_175" "PO8_175" "O1_175"
## [344] "O2_175" "Fz_175" "FCz_175" "Cz_175" "CPz_175" "Pz_175" "Fp1_176"
## [351] "Fp2_176" "F3_176" "F4_176" "F7_176" "F8_176" "FC1_176" "FC2_176"
## [358] "C3_176" "C4_176" "T7_176" "T8_176" "CP1_176" "CP2_176" "P7_176"
## [365] "P8_176" "PO7_176" "PO8_176" "O1_176" "O2_176" "Fz_176" "FCz_176"
## [372] "Cz_176" "CPz_176" "Pz_176" "Fp1_177" "Fp2_177" "F3_177" "F4_177"
## [379] "F7_177" "F8_177" "FC1_177" "FC2_177" "C3_177" "C4_177" "T7_177"
## [386] "T8_177" "CP1_177" "CP2_177" "P7_177" "P8_177" "PO7_177" "PO8_177"
## [393] "O1_177" "O2_177" "Fz_177" "FCz_177" "Cz_177" "CPz_177" "Pz_177"
## [400] "Fp1_178" "Fp2_178" "F3_178" "F4_178" "F7_178" "F8_178" "FC1_178"
## [407] "FC2_178" "C3_178" "C4_178" "T7_178" "T8_178" "CP1_178" "CP2_178"
## [414] "P7_178" "P8_178" "PO7_178" "PO8_178" "O1_178" "O2_178" "Fz_178"
## [421] "FCz_178" "Cz_178" "CPz_178" "Pz_178" "Fp1_179" "Fp2_179" "F3_179"
## [428] "F4_179" "F7_179" "F8_179" "FC1_179" "FC2_179" "C3_179" "C4_179"
## [435] "T7_179" "T8_179" "CP1_179" "CP2_179" "P7_179" "P8_179" "PO7_179"
## [442] "PO8_179" "O1_179" "O2_179" "Fz_179" "FCz_179" "Cz_179" "CPz_179"
## [449] "Pz_179" "Fp1_180" "Fp2_180" "F3_180" "F4_180" "F7_180" "F8_180"
## [456] "FC1_180" "FC2_180" "C3_180" "C4_180" "T7_180" "T8_180" "CP1_180"
## [463] "CP2_180" "P7_180" "P8_180" "PO7_180" "PO8_180" "O1_180" "O2_180"
## [470] "Fz_180" "FCz_180" "Cz_180" "CPz_180" "Pz_180" "Fp1_181" "Fp2_181"
## [477] "F3_181" "F4_181" "F7_181" "F8_181" "FC1_181" "FC2_181" "C3_181"
## [484] "C4_181" "T7_181" "T8_181" "CP1_181" "CP2_181" "P7_181" "P8_181"
## [491] "PO7_181" "PO8_181" "O1_181" "O2_181" "Fz_181" "FCz_181" "Cz_181"
## [498] "CPz_181" "Pz_181" "Fp1_182" "Fp2_182" "F3_182" "F4_182" "F7_182"
## [505] "F8_182" "FC1_182" "FC2_182" "C3_182" "C4_182" "T7_182" "T8_182"
## [512] "CP1_182" "CP2_182" "P7_182" "P8_182" "PO7_182" "PO8_182" "O1_182"
## [519] "O2_182" "Fz_182" "FCz_182" "Cz_182" "CPz_182" "Pz_182" "Fp1_183"
## [526] "Fp2_183" "F3_183" "F4_183" "F7_183" "F8_183" "FC1_183" "FC2_183"
## [533] "C3_183" "C4_183" "T7_183" "T8_183" "CP1_183" "CP2_183" "P7_183"
## [540] "P8_183" "P3_183" "PO7_183" "PO8_183" "O1_183" "O2_183" "Fz_183"
## [547] "FCz_183" "Cz_183" "CPz_183" "Pz_183" "Fp1_184" "Fp2_184" "F3_184"
## [554] "F4_184" "F7_184" "F8_184" "FC1_184" "FC2_184" "C3_184" "C4_184"
## [561] "T7_184" "T8_184" "CP1_184" "CP2_184" "P7_184" "P8_184" "P3_184"
## [568] "PO7_184" "PO8_184" "O1_184" "O2_184" "Fz_184" "FCz_184" "Cz_184"
## [575] "CPz_184" "Pz_184" "Fp1_185" "Fp2_185" "F3_185" "F4_185" "F7_185"
## [582] "F8_185" "FC1_185" "FC2_185" "C3_185" "C4_185" "T7_185" "T8_185"
## [589] "CP1_185" "CP2_185" "P7_185" "P8_185" "P3_185" "PO7_185" "PO8_185"
## [596] "O1_185" "O2_185" "Fz_185" "FCz_185" "Cz_185" "CPz_185" "Pz_185"
## [603] "Fp1_186" "Fp2_186" "F3_186" "F4_186" "F7_186" "F8_186" "FC1_186"
## [610] "FC2_186" "C3_186" "C4_186" "T7_186" "T8_186" "CP1_186" "CP2_186"
## [617] "P7_186" "P8_186" "P3_186" "PO7_186" "PO8_186" "O1_186" "O2_186"
## [624] "Fz_186" "FCz_186" "Cz_186" "CPz_186" "Pz_186" "Fp1_187" "Fp2_187"
## [631] "F3_187" "F4_187" "F7_187" "F8_187" "FC1_187" "FC2_187" "C3_187"
## [638] "C4_187" "T7_187" "T8_187" "CP1_187" "CP2_187" "P7_187" "P8_187"
## [645] "P3_187" "PO7_187" "PO8_187" "O1_187" "O2_187" "Fz_187" "FCz_187"
## [652] "Cz_187" "CPz_187" "Pz_187" "Fp1_188" "Fp2_188" "F3_188" "F4_188"
## [659] "F7_188" "F8_188" "FC1_188" "FC2_188" "C3_188" "C4_188" "T7_188"
## [666] "T8_188" "CP1_188" "CP2_188" "P7_188" "P8_188" "P3_188" "PO7_188"
## [673] "PO8_188" "O1_188" "O2_188" "Fz_188" "FCz_188" "Cz_188" "CPz_188"
## [680] "Pz_188" "Fp1_189" "Fp2_189" "F3_189" "F4_189" "F7_189" "F8_189"
## [687] "FC1_189" "FC2_189" "C3_189" "C4_189" "T7_189" "CP1_189" "CP2_189"
## [694] "P7_189" "P8_189" "P3_189" "PO7_189" "PO8_189" "O1_189" "O2_189"
## [701] "Fz_189" "FCz_189" "Cz_189" "CPz_189" "Pz_189" "Fp1_190" "Fp2_190"
## [708] "F3_190" "F4_190" "F7_190" "F8_190" "FC1_190" "FC2_190" "C3_190"
## [715] "C4_190" "CP1_190" "CP2_190" "P7_190" "P8_190" "P3_190" "PO7_190"
## [722] "PO8_190" "O1_190" "O2_190" "Fz_190" "FCz_190" "Cz_190" "CPz_190"
## [729] "Pz_190" "Fp1_191" "Fp2_191" "F3_191" "F4_191" "F7_191" "F8_191"
## [736] "FC1_191" "FC2_191" "C3_191" "C4_191" "CP1_191" "CP2_191" "P7_191"
## [743] "P8_191" "P3_191" "PO7_191" "PO8_191" "O1_191" "O2_191" "Fz_191"
## [750] "FCz_191" "Cz_191" "CPz_191" "Pz_191" "Fp1_192" "Fp2_192" "F3_192"
## [757] "F4_192" "F7_192" "F8_192" "FC1_192" "FC2_192" "C3_192" "C4_192"
## [764] "CP1_192" "CP2_192" "P7_192" "P8_192" "P3_192" "PO7_192" "PO8_192"
## [771] "O1_192" "O2_192" "Fz_192" "FCz_192" "Cz_192" "CPz_192" "Pz_192"
## [778] "Fp1_193" "Fp2_193" "F3_193" "F4_193" "F7_193" "F8_193" "FC1_193"
## [785] "FC2_193" "C3_193" "C4_193" "CP1_193" "CP2_193" "P7_193" "P8_193"
## [792] "P3_193" "PO7_193" "PO8_193" "O1_193" "O2_193" "Fz_193" "FCz_193"
## [799] "Cz_193" "CPz_193" "Fp1_194" "Fp2_194" "F3_194" "F4_194" "F7_194"
## [806] "F8_194" "FC1_194" "FC2_194" "C3_194" "C4_194" "CP1_194" "CP2_194"
## [813] "P7_194" "P8_194" "P3_194" "PO7_194" "PO8_194" "O1_194" "O2_194"
## [820] "Fz_194" "FCz_194" "Cz_194" "CPz_194" "Fp1_195" "Fp2_195" "F3_195"
## [827] "F4_195" "F7_195" "F8_195" "FC1_195" "FC2_195" "C4_195" "CP2_195"
## [834] "P7_195" "P8_195" "P3_195" "PO7_195" "PO8_195" "O1_195" "O2_195"
## [841] "Fz_195" "FCz_195" "Cz_195" "CPz_195" "Fp1_196" "Fp2_196" "F3_196"
## [848] "F4_196" "F7_196" "F8_196" "FC1_196" "FC2_196" "C4_196" "P7_196"
## [855] "P8_196" "P3_196" "PO7_196" "PO8_196" "O1_196" "O2_196" "Fz_196"
## [862] "FCz_196" "Cz_196" "CPz_196" "Fp1_197" "Fp2_197" "F3_197" "F4_197"
## [869] "F7_197" "F8_197" "FC1_197" "FC2_197" "C4_197" "P7_197" "P8_197"
## [876] "P3_197" "PO7_197" "PO8_197" "O1_197" "O2_197" "Fz_197" "FCz_197"
## [883] "Cz_197" "CPz_197" "Fp1_198" "Fp2_198" "F3_198" "F4_198" "F7_198"
## [890] "F8_198" "FC1_198" "FC2_198" "C4_198" "P7_198" "P8_198" "P3_198"
## [897] "PO7_198" "PO8_198" "O1_198" "O2_198" "Fz_198" "FCz_198" "Cz_198"
## [904] "CPz_198" "Fp1_199" "Fp2_199" "F3_199" "F4_199" "F7_199" "F8_199"
## [911] "FC1_199" "FC2_199" "C4_199" "P7_199" "P8_199" "P3_199" "PO7_199"
## [918] "PO8_199" "O1_199" "O2_199" "Fz_199" "FCz_199" "Cz_199" "Fp1_200"
## [925] "Fp2_200" "F3_200" "F4_200" "F7_200" "F8_200" "FC1_200" "FC2_200"
## [932] "P7_200" "P8_200" "P3_200" "PO7_200" "PO8_200" "O1_200" "O2_200"
## [939] "Fz_200" "FCz_200" "Cz_200" "Fp1_201" "Fp2_201" "F3_201" "F4_201"
## [946] "F7_201" "F8_201" "FC1_201" "FC2_201" "P7_201" "P8_201" "P3_201"
## [953] "PO7_201" "O1_201" "Fz_201" "FCz_201" "Cz_201" "Fp1_202" "Fp2_202"
## [960] "F3_202" "F4_202" "F7_202" "F8_202" "FC1_202" "FC2_202" "P7_202"
## [967] "P8_202" "P3_202" "PO7_202" "O1_202" "Fz_202" "FCz_202" "Cz_202"
## [974] "Fp1_203" "Fp2_203" "F3_203" "F4_203" "F7_203" "F8_203" "FC1_203"
## [981] "FC2_203" "P7_203" "P8_203" "P3_203" "PO7_203" "O1_203" "Fz_203"
## [988] "FCz_203" "Cz_203" "Fp1_204" "Fp2_204" "F3_204" "F4_204" "F7_204"
## [995] "F8_204" "FC1_204" "FC2_204" "P7_204" "P8_204" "P3_204" "PO7_204"
## [1002] "PO8_204" "O1_204" "Fz_204" "FCz_204" "Cz_204" "Fp1_205" "Fp2_205"
## [1009] "F3_205" "F4_205" "F7_205" "F8_205" "FC1_205" "FC2_205" "P7_205"
## [1016] "P8_205" "P3_205" "PO7_205" "PO8_205" "O1_205" "O2_205" "Fz_205"
## [1023] "FCz_205" "Cz_205" "Fp1_206" "Fp2_206" "F3_206" "F4_206" "F7_206"
## [1030] "F8_206" "FC1_206" "FC2_206" "P7_206" "P8_206" "P3_206" "PO7_206"
## [1037] "PO8_206" "O1_206" "O2_206" "Fz_206" "FCz_206" "Cz_206" "Fp1_207"
## [1044] "Fp2_207" "F3_207" "F4_207" "F7_207" "F8_207" "FC1_207" "FC2_207"
## [1051] "P7_207" "P8_207" "P3_207" "PO7_207" "PO8_207" "O1_207" "O2_207"
## [1058] "Fz_207" "FCz_207" "Cz_207" "Fp1_208" "Fp2_208" "F3_208" "F4_208"
## [1065] "F7_208" "F8_208" "FC1_208" "FC2_208" "C4_208" "P7_208" "P8_208"
## [1072] "P3_208" "PO7_208" "PO8_208" "O1_208" "O2_208" "Fz_208" "FCz_208"
## [1079] "Cz_208" "CPz_208" "Fp1_209" "Fp2_209" "F3_209" "F4_209" "F7_209"
## [1086] "F8_209" "FC1_209" "FC2_209" "C4_209" "P7_209" "P8_209" "P3_209"
## [1093] "PO7_209" "PO8_209" "O1_209" "O2_209" "Fz_209" "FCz_209" "Cz_209"
## [1100] "CPz_209" "Fp1_210" "Fp2_210" "F3_210" "F4_210" "F7_210" "F8_210"
## [1107] "FC1_210" "FC2_210" "C4_210" "CP2_210" "P7_210" "P8_210" "P3_210"
## [1114] "PO7_210" "PO8_210" "O1_210" "O2_210" "Fz_210" "FCz_210" "Cz_210"
## [1121] "CPz_210" "Fp1_211" "Fp2_211" "F3_211" "F4_211" "F7_211" "F8_211"
## [1128] "FC1_211" "FC2_211" "C4_211" "CP2_211" "P7_211" "P8_211" "P3_211"
## [1135] "PO7_211" "PO8_211" "O1_211" "O2_211" "Fz_211" "FCz_211" "Cz_211"
## [1142] "CPz_211" "Fp1_212" "Fp2_212" "F3_212" "F4_212" "F7_212" "F8_212"
## [1149] "FC1_212" "FC2_212" "C4_212" "CP2_212" "P7_212" "P8_212" "P3_212"
## [1156] "PO7_212" "PO8_212" "O1_212" "O2_212" "Fz_212" "FCz_212" "Cz_212"
## [1163] "CPz_212" "Fp1_213" "Fp2_213" "F3_213" "F4_213" "F7_213" "F8_213"
## [1170] "FC1_213" "FC2_213" "C4_213" "T7_213" "CP2_213" "P7_213" "P8_213"
## [1177] "P3_213" "PO7_213" "PO8_213" "O1_213" "O2_213" "Fz_213" "FCz_213"
## [1184] "Cz_213" "CPz_213" "Fp1_214" "Fp2_214" "F3_214" "F4_214" "F7_214"
## [1191] "F8_214" "FC1_214" "FC2_214" "C4_214" "T7_214" "CP2_214" "P7_214"
## [1198] "P8_214" "P3_214" "PO7_214" "PO8_214" "O1_214" "O2_214" "Fz_214"
## [1205] "FCz_214" "Cz_214" "CPz_214" "Fp1_215" "Fp2_215" "F3_215" "F4_215"
## [1212] "F7_215" "F8_215" "FC1_215" "FC2_215" "C4_215" "T7_215" "CP2_215"
## [1219] "P7_215" "P8_215" "P3_215" "PO7_215" "PO8_215" "O1_215" "O2_215"
## [1226] "Fz_215" "FCz_215" "Cz_215" "CPz_215" "Fp1_216" "Fp2_216" "F3_216"
## [1233] "F4_216" "F7_216" "F8_216" "FC1_216" "FC2_216" "C4_216" "T7_216"
## [1240] "CP2_216" "P7_216" "P8_216" "P3_216" "PO7_216" "PO8_216" "O1_216"
## [1247] "O2_216" "Fz_216" "FCz_216" "Cz_216" "CPz_216" "Fp1_217" "Fp2_217"
## [1254] "F3_217" "F4_217" "F7_217" "F8_217" "FC1_217" "FC2_217" "C4_217"
## [1261] "T7_217" "CP2_217" "P7_217" "P8_217" "P3_217" "PO7_217" "PO8_217"
## [1268] "O1_217" "O2_217" "Fz_217" "FCz_217" "Cz_217" "CPz_217" "Fp1_218"
## [1275] "Fp2_218" "F3_218" "F4_218" "F7_218" "F8_218" "FC1_218" "FC2_218"
## [1282] "C4_218" "CP2_218" "P7_218" "P8_218" "P3_218" "PO7_218" "PO8_218"
## [1289] "O1_218" "O2_218" "Fz_218" "FCz_218" "Cz_218" "CPz_218" "Fp1_219"
## [1296] "Fp2_219" "F3_219" "F4_219" "F7_219" "F8_219" "FC1_219" "FC2_219"
## [1303] "C4_219" "CP2_219" "P7_219" "P8_219" "P3_219" "PO7_219" "PO8_219"
## [1310] "O1_219" "O2_219" "Fz_219" "FCz_219" "Cz_219" "CPz_219" "Fp1_220"
## [1317] "Fp2_220" "F3_220" "F4_220" "F7_220" "F8_220" "FC1_220" "FC2_220"
## [1324] "C4_220" "CP1_220" "CP2_220" "P7_220" "P8_220" "P3_220" "PO7_220"
## [1331] "PO8_220" "O1_220" "O2_220" "Fz_220" "FCz_220" "Cz_220" "CPz_220"
## [1338] "Fp1_221" "Fp2_221" "F3_221" "F4_221" "F7_221" "F8_221" "FC1_221"
## [1345] "FC2_221" "C3_221" "C4_221" "CP1_221" "CP2_221" "P7_221" "P8_221"
## [1352] "P3_221" "PO7_221" "PO8_221" "O1_221" "O2_221" "Fz_221" "FCz_221"
## [1359] "Cz_221" "CPz_221" "Fp1_222" "Fp2_222" "F3_222" "F4_222" "F7_222"
## [1366] "F8_222" "FC1_222" "FC2_222" "C3_222" "C4_222" "CP1_222" "CP2_222"
## [1373] "P7_222" "P8_222" "P3_222" "PO7_222" "PO8_222" "O1_222" "O2_222"
## [1380] "Fz_222" "FCz_222" "Cz_222" "CPz_222" "Fp1_223" "Fp2_223" "F3_223"
## [1387] "F4_223" "F7_223" "F8_223" "FC1_223" "FC2_223" "C3_223" "C4_223"
## [1394] "CP1_223" "CP2_223" "P7_223" "P8_223" "P3_223" "PO7_223" "PO8_223"
## [1401] "O1_223" "O2_223" "Fz_223" "FCz_223" "Cz_223" "CPz_223" "Fp1_224"
## [1408] "Fp2_224" "F3_224" "F4_224" "F7_224" "F8_224" "FC1_224" "FC2_224"
## [1415] "C3_224" "C4_224" "CP1_224" "CP2_224" "P7_224" "P8_224" "P3_224"
## [1422] "PO7_224" "PO8_224" "O1_224" "O2_224" "Fz_224" "FCz_224" "Cz_224"
## [1429] "CPz_224" "Pz_224" "Fp1_225" "Fp2_225" "F3_225" "F4_225" "F7_225"
## [1436] "F8_225" "FC1_225" "FC2_225" "C3_225" "C4_225" "CP1_225" "CP2_225"
## [1443] "P7_225" "P8_225" "P3_225" "PO7_225" "PO8_225" "O1_225" "O2_225"
## [1450] "Fz_225" "FCz_225" "Cz_225" "CPz_225" "Pz_225" "Fp1_226" "Fp2_226"
## [1457] "F3_226" "F4_226" "F7_226" "F8_226" "FC1_226" "FC2_226" "C3_226"
## [1464] "C4_226" "CP1_226" "CP2_226" "P7_226" "P8_226" "P3_226" "PO7_226"
## [1471] "PO8_226" "O1_226" "O2_226" "Fz_226" "FCz_226" "Cz_226" "CPz_226"
## [1478] "Pz_226" "Fp1_227" "Fp2_227" "F3_227" "F4_227" "F7_227" "F8_227"
## [1485] "FC1_227" "FC2_227" "C3_227" "C4_227" "CP1_227" "CP2_227" "P7_227"
## [1492] "P8_227" "P3_227" "PO7_227" "PO8_227" "O1_227" "O2_227" "Fz_227"
## [1499] "FCz_227" "Cz_227" "CPz_227" "Pz_227" "Fp1_228" "F3_228" "F4_228"
## [1506] "F7_228" "F8_228" "FC1_228" "FC2_228" "C3_228" "C4_228" "CP1_228"
## [1513] "CP2_228" "P7_228" "P8_228" "P3_228" "PO7_228" "PO8_228" "O1_228"
## [1520] "O2_228" "Fz_228" "FCz_228" "Cz_228" "CPz_228" "Pz_228" "Fp1_229"
## [1527] "F3_229" "F4_229" "F7_229" "F8_229" "FC1_229" "FC2_229" "C3_229"
## [1534] "C4_229" "CP1_229" "CP2_229" "P7_229" "P8_229" "PO7_229" "PO8_229"
## [1541] "O1_229" "O2_229" "Fz_229" "FCz_229" "Cz_229" "CPz_229" "Pz_229"
## [1548] "Fp1_230" "F3_230" "F4_230" "F7_230" "F8_230" "FC1_230" "FC2_230"
## [1555] "C3_230" "C4_230" "CP1_230" "CP2_230" "P7_230" "P8_230" "PO7_230"
## [1562] "PO8_230" "O1_230" "O2_230" "Fz_230" "FCz_230" "Cz_230" "CPz_230"
## [1569] "Pz_230" "Fp1_231" "F3_231" "F4_231" "F7_231" "F8_231" "FC1_231"
## [1576] "FC2_231" "C3_231" "C4_231" "CP1_231" "CP2_231" "P7_231" "P8_231"
## [1583] "PO7_231" "PO8_231" "O1_231" "O2_231" "Fz_231" "FCz_231" "Cz_231"
## [1590] "CPz_231" "Pz_231" "Fp1_232" "F3_232" "F4_232" "F7_232" "F8_232"
## [1597] "FC1_232" "FC2_232" "C3_232" "C4_232" "CP1_232" "CP2_232" "P7_232"
## [1604] "P8_232" "PO7_232" "PO8_232" "O1_232" "O2_232" "Fz_232" "FCz_232"
## [1611] "Cz_232" "CPz_232" "Pz_232" "Fp1_233" "F3_233" "F4_233" "F7_233"
## [1618] "F8_233" "FC1_233" "FC2_233" "C3_233" "C4_233" "CP1_233" "CP2_233"
## [1625] "P7_233" "P8_233" "PO7_233" "PO8_233" "O1_233" "O2_233" "Fz_233"
## [1632] "FCz_233" "Cz_233" "CPz_233" "Pz_233" "Fp1_234" "F3_234" "F4_234"
## [1639] "F7_234" "F8_234" "FC1_234" "FC2_234" "C3_234" "C4_234" "CP1_234"
## [1646] "CP2_234" "P7_234" "P8_234" "PO7_234" "PO8_234" "O1_234" "O2_234"
## [1653] "Fz_234" "FCz_234" "Cz_234" "CPz_234" "Pz_234" "Fp1_235" "F3_235"
## [1660] "F4_235" "F7_235" "F8_235" "FC1_235" "FC2_235" "C3_235" "C4_235"
## [1667] "CP1_235" "CP2_235" "P7_235" "P8_235" "PO7_235" "PO8_235" "O1_235"
## [1674] "O2_235" "Fz_235" "FCz_235" "Cz_235" "CPz_235" "Pz_235" "Fp1_236"
## [1681] "F3_236" "F4_236" "F7_236" "F8_236" "FC1_236" "FC2_236" "C3_236"
## [1688] "C4_236" "CP1_236" "CP2_236" "P7_236" "P8_236" "PO7_236" "PO8_236"
## [1695] "O1_236" "O2_236" "Fz_236" "FCz_236" "Cz_236" "CPz_236" "Pz_236"
## [1702] "Fp1_237" "F3_237" "F4_237" "F7_237" "F8_237" "FC1_237" "FC2_237"
## [1709] "C3_237" "C4_237" "CP1_237" "CP2_237" "P7_237" "P8_237" "PO7_237"
## [1716] "PO8_237" "O1_237" "O2_237" "Fz_237" "FCz_237" "Cz_237" "CPz_237"
## [1723] "Pz_237" "Fp1_238" "F3_238" "F4_238" "F7_238" "F8_238" "FC1_238"
## [1730] "FC2_238" "C3_238" "C4_238" "CP1_238" "CP2_238" "P7_238" "P8_238"
## [1737] "PO7_238" "PO8_238" "O1_238" "O2_238" "Fz_238" "FCz_238" "Cz_238"
## [1744] "CPz_238" "Pz_238" "Fp1_239" "F3_239" "F4_239" "F7_239" "F8_239"
## [1751] "FC1_239" "FC2_239" "C3_239" "C4_239" "CP1_239" "CP2_239" "P7_239"
## [1758] "P8_239" "PO7_239" "PO8_239" "O1_239" "O2_239" "Fz_239" "FCz_239"
## [1765] "Cz_239" "CPz_239" "Pz_239" "Fp1_240" "F3_240" "F4_240" "F7_240"
## [1772] "F8_240" "FC1_240" "FC2_240" "C3_240" "C4_240" "CP1_240" "CP2_240"
## [1779] "P7_240" "P8_240" "PO7_240" "PO8_240" "O1_240" "O2_240" "Fz_240"
## [1786] "FCz_240" "Cz_240" "CPz_240" "Pz_240" "Fp1_241" "F3_241" "F4_241"
## [1793] "F7_241" "F8_241" "FC1_241" "FC2_241" "C3_241" "C4_241" "CP1_241"
## [1800] "CP2_241" "P7_241" "P8_241" "PO7_241" "PO8_241" "O1_241" "O2_241"
## [1807] "Fz_241" "FCz_241" "Cz_241" "CPz_241" "Pz_241" "Fp1_242" "F3_242"
## [1814] "F4_242" "F7_242" "F8_242" "FC1_242" "FC2_242" "C3_242" "C4_242"
## [1821] "CP1_242" "CP2_242" "P7_242" "P8_242" "PO7_242" "PO8_242" "O1_242"
## [1828] "O2_242" "Fz_242" "FCz_242" "Cz_242" "CPz_242" "Pz_242" "Fp1_243"
## [1835] "F3_243" "F4_243" "F7_243" "F8_243" "FC1_243" "FC2_243" "C3_243"
## [1842] "C4_243" "CP1_243" "CP2_243" "P7_243" "P8_243" "PO7_243" "PO8_243"
## [1849] "O1_243" "O2_243" "Fz_243" "FCz_243" "Cz_243" "CPz_243" "Pz_243"
## [1856] "Fp1_244" "F3_244" "F4_244" "F7_244" "F8_244" "FC1_244" "FC2_244"
## [1863] "C3_244" "C4_244" "CP1_244" "CP2_244" "P7_244" "P8_244" "PO7_244"
## [1870] "PO8_244" "O1_244" "O2_244" "Fz_244" "FCz_244" "Cz_244" "CPz_244"
## [1877] "Pz_244" "Fp1_245" "F3_245" "F4_245" "F7_245" "F8_245" "FC1_245"
## [1884] "FC2_245" "C3_245" "C4_245" "CP1_245" "CP2_245" "P7_245" "P8_245"
## [1891] "PO7_245" "PO8_245" "O1_245" "O2_245" "Fz_245" "FCz_245" "Cz_245"
## [1898] "CPz_245" "Pz_245" "Fp1_246" "F3_246" "F4_246" "F7_246" "F8_246"
## [1905] "FC1_246" "FC2_246" "C3_246" "C4_246" "CP1_246" "CP2_246" "P7_246"
## [1912] "P8_246" "PO7_246" "PO8_246" "O1_246" "O2_246" "Fz_246" "FCz_246"
## [1919] "Cz_246" "CPz_246" "Pz_246" "F3_247" "F4_247" "F7_247" "FC1_247"
## [1926] "FC2_247" "C4_247" "CP1_247" "CP2_247" "P7_247" "P8_247" "PO7_247"
## [1933] "PO8_247" "O1_247" "O2_247" "Fz_247" "FCz_247" "Cz_247" "CPz_247"
## [1940] "Pz_247" "F3_248" "F4_248" "F7_248" "FC1_248" "FC2_248" "C4_248"
## [1947] "CP1_248" "CP2_248" "P7_248" "P8_248" "PO7_248" "PO8_248" "O1_248"
## [1954] "O2_248" "Fz_248" "FCz_248" "Cz_248" "CPz_248" "Pz_248" "F3_249"
## [1961] "F4_249" "F7_249" "FC1_249" "FC2_249" "C4_249" "CP1_249" "CP2_249"
## [1968] "P7_249" "P8_249" "PO7_249" "PO8_249" "O1_249" "O2_249" "Fz_249"
## [1975] "FCz_249" "Cz_249" "CPz_249" "Pz_249" "F3_250" "F4_250" "F7_250"
## [1982] "FC1_250" "FC2_250" "CP1_250" "CP2_250" "P7_250" "P8_250" "PO7_250"
## [1989] "PO8_250" "O1_250" "O2_250" "Fz_250" "FCz_250" "Cz_250" "CPz_250"
## [1996] "Pz_250" "F3_251" "F4_251" "F7_251" "FC1_251" "FC2_251" "CP1_251"
## [2003] "CP2_251" "P7_251" "P8_251" "PO7_251" "PO8_251" "O1_251" "O2_251"
## [2010] "Fz_251" "FCz_251" "Cz_251" "CPz_251" "Pz_251" "F3_252" "F4_252"
## [2017] "F7_252" "FC1_252" "FC2_252" "CP1_252" "CP2_252" "P7_252" "P8_252"
## [2024] "PO7_252" "PO8_252" "O1_252" "O2_252" "Fz_252" "FCz_252" "Cz_252"
## [2031] "CPz_252" "Pz_252" "F3_253" "FC1_253" "FC2_253" "CP1_253" "CP2_253"
## [2038] "P7_253" "P8_253" "PO7_253" "PO8_253" "O2_253" "Fz_253" "FCz_253"
## [2045] "Cz_253" "CPz_253" "Pz_253" "F3_254" "FC1_254" "FC2_254" "CP1_254"
## [2052] "CP2_254" "P7_254" "P8_254" "PO7_254" "PO8_254" "O2_254" "Fz_254"
## [2059] "FCz_254" "Cz_254" "CPz_254" "Pz_254" "F3_255" "FC1_255" "FC2_255"
## [2066] "CP1_255" "CP2_255" "P7_255" "P8_255" "PO7_255" "PO8_255" "O2_255"
## [2073] "Fz_255" "FCz_255" "Cz_255" "CPz_255" "Pz_255" "FC1_256" "FC2_256"
## [2080] "CP1_256" "CP2_256" "P7_256" "P8_256" "PO7_256" "PO8_256" "O2_256"
## [2087] "Fz_256" "FCz_256" "Cz_256" "CPz_256" "Pz_256" "FC1_257" "FC2_257"
## [2094] "CP1_257" "CP2_257" "P7_257" "P8_257" "PO7_257" "PO8_257" "O2_257"
## [2101] "Fz_257" "FCz_257" "Cz_257" "CPz_257" "Pz_257" "FC1_258" "FC2_258"
## [2108] "CP1_258" "CP2_258" "P7_258" "P8_258" "PO7_258" "PO8_258" "O1_258"
## [2115] "O2_258" "Fz_258" "FCz_258" "Cz_258" "CPz_258" "Pz_258" "FC1_259"
## [2122] "FC2_259" "CP1_259" "CP2_259" "P7_259" "P8_259" "PO7_259" "PO8_259"
## [2129] "O1_259" "O2_259" "Fz_259" "FCz_259" "Cz_259" "CPz_259" "Pz_259"
## [2136] "FC1_260" "FC2_260" "CP1_260" "CP2_260" "P7_260" "P8_260" "PO7_260"
## [2143] "PO8_260" "O1_260" "O2_260" "Fz_260" "FCz_260" "Cz_260" "CPz_260"
## [2150] "Pz_260" "FC1_261" "FC2_261" "CP1_261" "CP2_261" "P7_261" "P8_261"
## [2157] "PO7_261" "PO8_261" "O1_261" "Fz_261" "FCz_261" "Cz_261" "CPz_261"
## [2164] "Pz_261" "FC1_262" "FC2_262" "CP1_262" "CP2_262" "P7_262" "P8_262"
## [2171] "PO7_262" "PO8_262" "O1_262" "Fz_262" "FCz_262" "Cz_262" "CPz_262"
## [2178] "Pz_262" "FC1_263" "FC2_263" "CP1_263" "CP2_263" "P7_263" "P8_263"
## [2185] "PO7_263" "PO8_263" "Fz_263" "FCz_263" "Cz_263" "CPz_263" "Pz_263"
## [2192] "FC1_264" "FC2_264" "CP1_264" "CP2_264" "P7_264" "P8_264" "PO7_264"
## [2199] "PO8_264" "Fz_264" "FCz_264" "Cz_264" "CPz_264" "Pz_264" "FC1_265"
## [2206] "FC2_265" "CP1_265" "CP2_265" "P7_265" "P8_265" "PO7_265" "PO8_265"
## [2213] "Fz_265" "FCz_265" "Cz_265" "CPz_265" "Pz_265" "FC2_266" "CP1_266"
## [2220] "CP2_266" "P7_266" "P8_266" "PO7_266" "PO8_266" "Fz_266" "FCz_266"
## [2227] "Cz_266" "CPz_266" "Pz_266" "FC2_267" "CP1_267" "CP2_267" "P7_267"
## [2234] "P8_267" "PO7_267" "PO8_267" "Fz_267" "FCz_267" "Cz_267" "CPz_267"
## [2241] "Pz_267" "FC2_268" "CP1_268" "CP2_268" "P7_268" "P8_268" "PO7_268"
## [2248] "PO8_268" "FCz_268" "Cz_268" "CPz_268" "Pz_268" "FC2_269" "CP1_269"
## [2255] "CP2_269" "P7_269" "P8_269" "PO7_269" "PO8_269" "FCz_269" "Cz_269"
## [2262] "CPz_269" "Pz_269" "FC2_270" "CP1_270" "CP2_270" "P7_270" "P8_270"
## [2269] "PO7_270" "PO8_270" "FCz_270" "Cz_270" "CPz_270" "Pz_270" "FC2_271"
## [2276] "CP1_271" "CP2_271" "P7_271" "P8_271" "PO7_271" "PO8_271" "FCz_271"
## [2283] "Cz_271" "CPz_271" "Pz_271" "FC2_272" "CP1_272" "CP2_272" "P7_272"
## [2290] "P8_272" "PO7_272" "PO8_272" "FCz_272" "Cz_272" "CPz_272" "Pz_272"
## [2297] "FC2_273" "CP1_273" "CP2_273" "P7_273" "P8_273" "PO7_273" "PO8_273"
## [2304] "FCz_273" "Cz_273" "CPz_273" "Pz_273" "FC2_274" "CP1_274" "CP2_274"
## [2311] "P7_274" "P8_274" "PO7_274" "PO8_274" "FCz_274" "Cz_274" "CPz_274"
## [2318] "Pz_274" "FC2_275" "CP1_275" "CP2_275" "P7_275" "P8_275" "PO7_275"
## [2325] "PO8_275" "FCz_275" "Cz_275" "CPz_275" "Pz_275" "FC2_276" "CP1_276"
## [2332] "CP2_276" "P7_276" "P8_276" "PO7_276" "PO8_276" "FCz_276" "Cz_276"
## [2339] "CPz_276" "Pz_276" "FC2_277" "CP1_277" "CP2_277" "P7_277" "P8_277"
## [2346] "PO7_277" "PO8_277" "FCz_277" "Cz_277" "CPz_277" "Pz_277" "FC2_278"
## [2353] "CP1_278" "CP2_278" "P7_278" "P8_278" "PO7_278" "PO8_278" "FCz_278"
## [2360] "Cz_278" "CPz_278" "Pz_278" "FC2_279" "CP1_279" "CP2_279" "P7_279"
## [2367] "P8_279" "PO7_279" "PO8_279" "FCz_279" "Cz_279" "CPz_279" "Pz_279"
## [2374] "CP1_280" "CP2_280" "P7_280" "P8_280" "PO7_280" "PO8_280" "FCz_280"
## [2381] "Cz_280" "CPz_280" "Pz_280" "CP1_281" "CP2_281" "P7_281" "P8_281"
## [2388] "PO7_281" "PO8_281" "FCz_281" "Cz_281" "CPz_281" "Pz_281" "CP1_282"
## [2395] "CP2_282" "P7_282" "P8_282" "PO7_282" "PO8_282" "FCz_282" "Cz_282"
## [2402] "CPz_282" "Pz_282" "CP1_283" "CP2_283" "P7_283" "P8_283" "PO7_283"
## [2409] "PO8_283" "FCz_283" "Cz_283" "CPz_283" "Pz_283" "CP1_284" "CP2_284"
## [2416] "P7_284" "P8_284" "PO7_284" "PO8_284" "FCz_284" "Cz_284" "CPz_284"
## [2423] "Pz_284" "CP1_285" "CP2_285" "P7_285" "P8_285" "PO7_285" "PO8_285"
## [2430] "FCz_285" "Cz_285" "CPz_285" "Pz_285" "CP1_286" "CP2_286" "P7_286"
## [2437] "P8_286" "PO7_286" "PO8_286" "FCz_286" "Cz_286" "CPz_286" "Pz_286"
## [2444] "CP1_287" "CP2_287" "P7_287" "P8_287" "PO7_287" "PO8_287" "FCz_287"
## [2451] "Cz_287" "CPz_287" "Pz_287" "CP1_288" "CP2_288" "P7_288" "P8_288"
## [2458] "PO7_288" "PO8_288" "FCz_288" "Cz_288" "CPz_288" "Pz_288" "CP1_289"
## [2465] "CP2_289" "P7_289" "P8_289" "PO7_289" "PO8_289" "FCz_289" "Cz_289"
## [2472] "CPz_289" "Pz_289" "FC2_290" "CP1_290" "CP2_290" "P7_290" "P8_290"
## [2479] "PO7_290" "PO8_290" "FCz_290" "Cz_290" "CPz_290" "Pz_290" "FC2_291"
## [2486] "CP1_291" "CP2_291" "P7_291" "P8_291" "PO7_291" "PO8_291" "FCz_291"
## [2493] "Cz_291" "CPz_291" "Pz_291" "FC2_292" "CP1_292" "CP2_292" "P7_292"
## [2500] "P8_292" "PO7_292" "PO8_292" "FCz_292" "Cz_292" "CPz_292" "Pz_292"
## [2507] "FC2_293" "CP1_293" "CP2_293" "P7_293" "P8_293" "PO7_293" "PO8_293"
## [2514] "Fz_293" "FCz_293" "Cz_293" "CPz_293" "Pz_293" "FC2_294" "CP1_294"
## [2521] "CP2_294" "P7_294" "P8_294" "PO7_294" "PO8_294" "Fz_294" "FCz_294"
## [2528] "Cz_294" "CPz_294" "Pz_294" "FC2_295" "CP1_295" "CP2_295" "P7_295"
## [2535] "P8_295" "PO7_295" "PO8_295" "Fz_295" "FCz_295" "Cz_295" "CPz_295"
## [2542] "Pz_295" "FC2_296" "CP1_296" "CP2_296" "P7_296" "P8_296" "PO7_296"
## [2549] "PO8_296" "Fz_296" "FCz_296" "Cz_296" "CPz_296" "Pz_296" "FC2_297"
## [2556] "CP1_297" "CP2_297" "P7_297" "P8_297" "PO7_297" "PO8_297" "Fz_297"
## [2563] "FCz_297" "Cz_297" "CPz_297" "Pz_297" "FC2_298" "CP1_298" "CP2_298"
## [2570] "P7_298" "P8_298" "PO7_298" "PO8_298" "Fz_298" "FCz_298" "Cz_298"
## [2577] "CPz_298" "Pz_298" "FC2_299" "CP1_299" "CP2_299" "P7_299" "P8_299"
## [2584] "PO7_299" "PO8_299" "O1_299" "Fz_299" "FCz_299" "Cz_299" "CPz_299"
## [2591] "Pz_299" "FC2_300" "CP1_300" "CP2_300" "P7_300" "P8_300" "PO7_300"
## [2598] "PO8_300" "O1_300" "Fz_300" "FCz_300" "Cz_300" "CPz_300" "Pz_300"
## [2605] "FC1_301" "FC2_301" "CP1_301" "CP2_301" "P7_301" "P8_301" "PO7_301"
## [2612] "PO8_301" "O1_301" "Fz_301" "FCz_301" "Cz_301" "CPz_301" "Pz_301"
## [2619] "FC1_302" "FC2_302" "CP1_302" "CP2_302" "P7_302" "P8_302" "PO7_302"
## [2626] "PO8_302" "O1_302" "Fz_302" "FCz_302" "Cz_302" "CPz_302" "Pz_302"
## [2633] "FC1_303" "FC2_303" "CP1_303" "CP2_303" "P7_303" "P8_303" "PO7_303"
## [2640] "PO8_303" "O1_303" "Fz_303" "FCz_303" "Cz_303" "CPz_303" "Pz_303"
## [2647] "FC1_304" "FC2_304" "CP1_304" "CP2_304" "P7_304" "P8_304" "PO7_304"
## [2654] "PO8_304" "O1_304" "Fz_304" "FCz_304" "Cz_304" "CPz_304" "Pz_304"
## [2661] "FC1_305" "FC2_305" "CP1_305" "CP2_305" "P7_305" "P8_305" "PO7_305"
## [2668] "PO8_305" "O1_305" "Fz_305" "FCz_305" "Cz_305" "CPz_305" "Pz_305"
## [2675] "FC1_306" "FC2_306" "CP1_306" "CP2_306" "P7_306" "P8_306" "PO7_306"
## [2682] "PO8_306" "O1_306" "Fz_306" "FCz_306" "Cz_306" "CPz_306" "Pz_306"
## [2689] "FC1_307" "FC2_307" "CP1_307" "CP2_307" "P7_307" "P8_307" "PO7_307"
## [2696] "PO8_307" "O1_307" "Fz_307" "FCz_307" "Cz_307" "CPz_307" "Pz_307"
## [2703] "FC2_308" "CP1_308" "CP2_308" "P7_308" "P8_308" "PO7_308" "PO8_308"
## [2710] "O1_308" "Fz_308" "FCz_308" "Cz_308" "CPz_308" "Pz_308" "FC2_309"
## [2717] "CP1_309" "CP2_309" "P7_309" "P8_309" "PO7_309" "PO8_309" "O1_309"
## [2724] "Fz_309" "FCz_309" "Cz_309" "CPz_309" "Pz_309" "FC2_310" "T7_310"
## [2731] "CP1_310" "CP2_310" "P7_310" "P8_310" "PO7_310" "PO8_310" "O1_310"
## [2738] "Fz_310" "FCz_310" "Cz_310" "CPz_310" "Pz_310" "FC2_311" "T7_311"
## [2745] "CP1_311" "CP2_311" "P7_311" "P8_311" "PO7_311" "PO8_311" "O1_311"
## [2752] "Fz_311" "FCz_311" "Cz_311" "CPz_311" "Pz_311" "FC1_312" "FC2_312"
## [2759] "T7_312" "CP1_312" "CP2_312" "P7_312" "P8_312" "PO7_312" "PO8_312"
## [2766] "O1_312" "Fz_312" "FCz_312" "Cz_312" "CPz_312" "Pz_312" "F4_313"
## [2773] "FC1_313" "FC2_313" "T7_313" "CP1_313" "CP2_313" "P7_313" "P8_313"
## [2780] "PO7_313" "PO8_313" "O1_313" "Fz_313" "FCz_313" "Cz_313" "CPz_313"
## [2787] "Pz_313" "F4_314" "FC1_314" "FC2_314" "T7_314" "T8_314" "CP1_314"
## [2794] "CP2_314" "P7_314" "P8_314" "PO7_314" "PO8_314" "O1_314" "Fz_314"
## [2801] "FCz_314" "Cz_314" "CPz_314" "Pz_314" "F4_315" "FC1_315" "FC2_315"
## [2808] "T8_315" "CP1_315" "CP2_315" "P7_315" "P8_315" "PO7_315" "PO8_315"
## [2815] "O1_315" "Fz_315" "FCz_315" "Cz_315" "CPz_315" "Pz_315" "F4_316"
## [2822] "FC1_316" "FC2_316" "T8_316" "CP1_316" "CP2_316" "P7_316" "P8_316"
## [2829] "PO7_316" "PO8_316" "O1_316" "Fz_316" "FCz_316" "Cz_316" "CPz_316"
## [2836] "Pz_316" "F4_317" "FC1_317" "FC2_317" "T8_317" "CP1_317" "CP2_317"
## [2843] "P7_317" "P8_317" "PO7_317" "PO8_317" "O1_317" "Fz_317" "FCz_317"
## [2850] "Cz_317" "CPz_317" "Pz_317" "FC1_318" "FC2_318" "T8_318" "CP1_318"
## [2857] "CP2_318" "P7_318" "P8_318" "PO7_318" "PO8_318" "O1_318" "Fz_318"
## [2864] "FCz_318" "Cz_318" "CPz_318" "Pz_318" "FC1_319" "FC2_319" "T8_319"
## [2871] "CP1_319" "CP2_319" "P7_319" "P8_319" "PO7_319" "PO8_319" "O1_319"
## [2878] "Fz_319" "FCz_319" "Cz_319" "CPz_319" "Pz_319" "FC2_320" "CP1_320"
## [2885] "CP2_320" "P7_320" "P8_320" "PO7_320" "PO8_320" "O1_320" "Fz_320"
## [2892] "FCz_320" "Cz_320" "CPz_320" "Pz_320" "CP1_321" "CP2_321" "P7_321"
## [2899] "P8_321" "PO7_321" "PO8_321" "Fz_321" "FCz_321" "Cz_321" "CPz_321"
## [2906] "Pz_321" "CP1_322" "CP2_322" "P7_322" "P8_322" "PO7_322" "PO8_322"
## [2913] "Fz_322" "FCz_322" "Cz_322" "CPz_322" "Pz_322" "CP1_323" "CP2_323"
## [2920] "P7_323" "P8_323" "PO7_323" "PO8_323" "Fz_323" "FCz_323" "Cz_323"
## [2927] "CPz_323" "Pz_323" "CP1_324" "CP2_324" "P7_324" "P8_324" "PO7_324"
## [2934] "PO8_324" "Fz_324" "FCz_324" "Cz_324" "CPz_324" "Pz_324" "CP1_325"
## [2941] "CP2_325" "P7_325" "P8_325" "PO7_325" "PO8_325" "Fz_325" "FCz_325"
## [2948] "Cz_325" "CPz_325" "Pz_325" "CP1_326" "CP2_326" "P7_326" "P8_326"
## [2955] "PO7_326" "PO8_326" "Fz_326" "FCz_326" "Cz_326" "CPz_326" "Pz_326"
## [2962] "CP1_327" "CP2_327" "P7_327" "P8_327" "PO7_327" "PO8_327" "Fz_327"
## [2969] "FCz_327" "Cz_327" "CPz_327" "Pz_327" "T8_328" "CP1_328" "CP2_328"
## [2976] "P7_328" "P8_328" "PO7_328" "PO8_328" "O1_328" "Fz_328" "FCz_328"
## [2983] "Cz_328" "CPz_328" "Pz_328" "T8_329" "CP1_329" "CP2_329" "P7_329"
## [2990] "P8_329" "PO7_329" "PO8_329" "O1_329" "Fz_329" "FCz_329" "Cz_329"
## [2997] "CPz_329" "Pz_329" "CP1_330" "CP2_330" "P7_330" "P8_330" "PO7_330"
## [3004] "PO8_330" "O1_330" "Fz_330" "FCz_330" "Cz_330" "CPz_330" "Pz_330"
## [3011] "CP1_331" "CP2_331" "P7_331" "P8_331" "PO7_331" "PO8_331" "O1_331"
## [3018] "O2_331" "Fz_331" "FCz_331" "Cz_331" "CPz_331" "Pz_331" "CP1_332"
## [3025] "CP2_332" "P7_332" "P8_332" "PO7_332" "PO8_332" "O1_332" "O2_332"
## [3032] "Fz_332" "FCz_332" "Cz_332" "CPz_332" "Pz_332" "CP1_333" "CP2_333"
## [3039] "P7_333" "P8_333" "PO7_333" "PO8_333" "O1_333" "O2_333" "Fz_333"
## [3046] "FCz_333" "Cz_333" "CPz_333" "Pz_333" "CP1_334" "CP2_334" "P7_334"
## [3053] "P8_334" "PO7_334" "PO8_334" "O1_334" "O2_334" "Fz_334" "FCz_334"
## [3060] "Cz_334" "CPz_334" "Pz_334" "CP1_335" "CP2_335" "P7_335" "P8_335"
## [3067] "PO7_335" "PO8_335" "O1_335" "O2_335" "Fz_335" "FCz_335" "Cz_335"
## [3074] "CPz_335" "Pz_335" "CP1_336" "CP2_336" "P7_336" "P8_336" "PO7_336"
## [3081] "PO8_336" "O1_336" "O2_336" "Fz_336" "FCz_336" "Cz_336" "CPz_336"
## [3088] "Pz_336" "CP1_337" "CP2_337" "P7_337" "P8_337" "PO7_337" "PO8_337"
## [3095] "O1_337" "Fz_337" "FCz_337" "Cz_337" "CPz_337" "Pz_337" "CP1_338"
## [3102] "CP2_338" "P7_338" "P8_338" "PO7_338" "PO8_338" "O1_338" "Fz_338"
## [3109] "FCz_338" "Cz_338" "CPz_338" "Pz_338" "CP1_339" "CP2_339" "P7_339"
## [3116] "P8_339" "PO7_339" "PO8_339" "O1_339" "Fz_339" "FCz_339" "Cz_339"
## [3123] "CPz_339" "Pz_339" "CP1_340" "CP2_340" "P7_340" "P8_340" "PO7_340"
## [3130] "PO8_340" "O1_340" "Fz_340" "FCz_340" "Cz_340" "CPz_340" "Pz_340"
## [3137] "CP1_341" "CP2_341" "P7_341" "P8_341" "PO7_341" "PO8_341" "O1_341"
## [3144] "FCz_341" "Cz_341" "CPz_341" "Pz_341" "CP1_342" "CP2_342" "P7_342"
## [3151] "P8_342" "PO7_342" "O1_342" "FCz_342" "Cz_342" "CPz_342" "Pz_342"
## [3158] "CP1_343" "CP2_343" "P7_343" "P8_343" "PO7_343" "O1_343" "Cz_343"
## [3165] "CPz_343" "Pz_343" "CP1_344" "CP2_344" "P7_344" "P8_344" "PO7_344"
## [3172] "O1_344" "Cz_344" "CPz_344" "Pz_344" "CP1_345" "CP2_345" "P7_345"
## [3179] "P8_345" "PO7_345" "O1_345" "Cz_345" "CPz_345" "Pz_345" "CP1_346"
## [3186] "CP2_346" "P7_346" "P8_346" "PO7_346" "O1_346" "Cz_346" "CPz_346"
## [3193] "Pz_346" "CP1_347" "CP2_347" "P7_347" "P8_347" "PO7_347" "O1_347"
## [3200] "Cz_347" "CPz_347" "Pz_347" "CP1_348" "CP2_348" "P7_348" "P8_348"
## [3207] "PO7_348" "O1_348" "Cz_348" "CPz_348" "Pz_348" "CP1_349" "CP2_349"
## [3214] "P7_349" "P8_349" "PO7_349" "O1_349" "Fz_349" "FCz_349" "Cz_349"
## [3221] "CPz_349" "Pz_349" "CP1_350" "CP2_350" "P7_350" "P8_350" "PO7_350"
## [3228] "O1_350" "Fz_350" "FCz_350" "Cz_350" "CPz_350" "Pz_350" "CP1_351"
## [3235] "CP2_351" "P7_351" "P8_351" "PO7_351" "O1_351" "Fz_351" "FCz_351"
## [3242] "Cz_351" "CPz_351" "Pz_351" "CP1_352" "CP2_352" "P7_352" "P8_352"
## [3249] "PO7_352" "O1_352" "Fz_352" "FCz_352" "Cz_352" "CPz_352" "Pz_352"
## [3256] "CP1_353" "CP2_353" "P7_353" "P8_353" "PO7_353" "O1_353" "Fz_353"
## [3263] "FCz_353" "Cz_353" "CPz_353" "Pz_353" "CP1_354" "CP2_354" "P7_354"
## [3270] "P8_354" "PO7_354" "O1_354" "Fz_354" "FCz_354" "Cz_354" "CPz_354"
## [3277] "Pz_354" "T7_355" "CP1_355" "CP2_355" "P7_355" "P8_355" "PO7_355"
## [3284] "O1_355" "Fz_355" "FCz_355" "Cz_355" "CPz_355" "Pz_355" "T7_356"
## [3291] "CP1_356" "CP2_356" "P7_356" "P8_356" "PO7_356" "O1_356" "Fz_356"
## [3298] "FCz_356" "Cz_356" "CPz_356" "Pz_356" "T7_357" "CP1_357" "CP2_357"
## [3305] "P7_357" "P8_357" "P4_357" "PO7_357" "O1_357" "Fz_357" "FCz_357"
## [3312] "Cz_357" "CPz_357" "Pz_357" "CP1_358" "CP2_358" "P7_358" "P8_358"
## [3319] "P4_358" "PO7_358" "O1_358" "Fz_358" "FCz_358" "Cz_358" "CPz_358"
## [3326] "Pz_358" "CP1_359" "CP2_359" "P7_359" "P8_359" "P4_359" "PO7_359"
## [3333] "O1_359" "Fz_359" "FCz_359" "Cz_359" "CPz_359" "Pz_359" "CP1_360"
## [3340] "CP2_360" "P7_360" "P8_360" "P4_360" "PO7_360" "O1_360" "Fz_360"
## [3347] "FCz_360" "Cz_360" "CPz_360" "Pz_360" "CP1_361" "CP2_361" "P7_361"
## [3354] "P8_361" "P4_361" "PO7_361" "O1_361" "Fz_361" "FCz_361" "Cz_361"
## [3361] "CPz_361" "Pz_361" "CP2_362" "P7_362" "P8_362" "P4_362" "PO7_362"
## [3368] "O1_362" "Fz_362" "FCz_362" "Cz_362" "CPz_362" "Pz_362" "CP2_363"
## [3375] "P7_363" "P8_363" "PO7_363" "O1_363" "Fz_363" "FCz_363" "Cz_363"
## [3382] "CPz_363" "Pz_363" "CP2_364" "P7_364" "P8_364" "PO7_364" "O1_364"
## [3389] "Fz_364" "FCz_364" "Cz_364" "CPz_364" "Pz_364" "CP2_365" "P7_365"
## [3396] "P8_365" "PO7_365" "O1_365" "Fz_365" "FCz_365" "Cz_365" "CPz_365"
## [3403] "Pz_365" "CP2_366" "P7_366" "P8_366" "PO7_366" "O1_366" "Fz_366"
## [3410] "FCz_366" "Cz_366" "CPz_366" "Pz_366" "FC1_367" "CP2_367" "P7_367"
## [3417] "P8_367" "PO7_367" "Fz_367" "FCz_367" "Cz_367" "CPz_367" "Pz_367"
## [3424] "FC1_368" "CP2_368" "P7_368" "P8_368" "PO7_368" "Fz_368" "FCz_368"
## [3431] "Cz_368" "CPz_368" "Pz_368" "FC1_369" "T7_369" "CP1_369" "CP2_369"
## [3438] "P7_369" "P8_369" "PO7_369" "Fz_369" "FCz_369" "Cz_369" "CPz_369"
## [3445] "Pz_369" "FC1_370" "T7_370" "CP1_370" "CP2_370" "P7_370" "P8_370"
## [3452] "PO7_370" "Fz_370" "FCz_370" "Cz_370" "CPz_370" "Pz_370" "FC1_371"
## [3459] "T7_371" "CP1_371" "CP2_371" "P7_371" "P8_371" "PO7_371" "Fz_371"
## [3466] "FCz_371" "Cz_371" "CPz_371" "Pz_371" "FC1_372" "T7_372" "CP1_372"
## [3473] "CP2_372" "P7_372" "P8_372" "PO7_372" "Fz_372" "FCz_372" "Cz_372"
## [3480] "CPz_372" "Pz_372" "FC1_373" "T7_373" "CP1_373" "CP2_373" "P7_373"
## [3487] "P8_373" "PO7_373" "Fz_373" "FCz_373" "Cz_373" "CPz_373" "Pz_373"
## [3494] "FC1_374" "T7_374" "CP1_374" "CP2_374" "P7_374" "P8_374" "PO7_374"
## [3501] "Fz_374" "FCz_374" "Cz_374" "CPz_374" "Pz_374" "FC1_375" "T7_375"
## [3508] "CP1_375" "CP2_375" "P7_375" "P8_375" "PO7_375" "Fz_375" "FCz_375"
## [3515] "Cz_375" "CPz_375" "Pz_375" "FC1_376" "T7_376" "CP1_376" "CP2_376"
## [3522] "P7_376" "P8_376" "PO7_376" "Fz_376" "FCz_376" "Cz_376" "CPz_376"
## [3529] "Pz_376" "FC1_377" "T7_377" "CP1_377" "CP2_377" "P7_377" "P8_377"
## [3536] "PO7_377" "Fz_377" "FCz_377" "Cz_377" "CPz_377" "Pz_377" "FC1_378"
## [3543] "CP1_378" "CP2_378" "P7_378" "P8_378" "PO7_378" "Fz_378" "FCz_378"
## [3550] "Cz_378" "CPz_378" "Pz_378" "FC1_379" "CP1_379" "CP2_379" "P7_379"
## [3557] "P8_379" "PO7_379" "Fz_379" "FCz_379" "Cz_379" "CPz_379" "Pz_379"
## [3564] "FC1_380" "CP1_380" "P7_380" "P8_380" "PO7_380" "Fz_380" "FCz_380"
## [3571] "Cz_380" "CPz_380" "Pz_380" "FC1_381" "CP1_381" "P7_381" "P8_381"
## [3578] "PO7_381" "Fz_381" "FCz_381" "Cz_381" "CPz_381" "Pz_381" "FC1_382"
## [3585] "CP1_382" "P7_382" "P8_382" "PO7_382" "Fz_382" "FCz_382" "Cz_382"
## [3592] "CPz_382" "Pz_382" "FC1_383" "CP1_383" "P7_383" "P8_383" "PO7_383"
## [3599] "Fz_383" "FCz_383" "Cz_383" "CPz_383" "Pz_383" "FC1_384" "CP1_384"
## [3606] "P7_384" "P8_384" "PO7_384" "Fz_384" "FCz_384" "Cz_384" "CPz_384"
## [3613] "Pz_384" "FC1_385" "CP1_385" "CP2_385" "P7_385" "P8_385" "PO7_385"
## [3620] "Fz_385" "FCz_385" "Cz_385" "CPz_385" "Pz_385" "FC1_386" "CP1_386"
## [3627] "CP2_386" "P7_386" "P8_386" "PO7_386" "Fz_386" "FCz_386" "Cz_386"
## [3634] "CPz_386" "Pz_386" "FC1_387" "T7_387" "CP1_387" "CP2_387" "P7_387"
## [3641] "P8_387" "PO7_387" "Fz_387" "FCz_387" "Cz_387" "CPz_387" "Pz_387"
## [3648] "FC1_388" "T7_388" "CP1_388" "CP2_388" "P7_388" "P8_388" "PO7_388"
## [3655] "Fz_388" "FCz_388" "Cz_388" "CPz_388" "Pz_388" "FC1_389" "T7_389"
## [3662] "CP1_389" "CP2_389" "P7_389" "P8_389" "P4_389" "PO7_389" "Fz_389"
## [3669] "FCz_389" "Cz_389" "CPz_389" "Pz_389" "FC1_390" "T7_390" "CP1_390"
## [3676] "CP2_390" "P7_390" "P8_390" "P4_390" "PO7_390" "Fz_390" "FCz_390"
## [3683] "Cz_390" "CPz_390" "Pz_390" "FC1_391" "CP1_391" "CP2_391" "P7_391"
## [3690] "P8_391" "P4_391" "PO7_391" "Fz_391" "FCz_391" "Cz_391" "CPz_391"
## [3697] "Pz_391" "FC1_392" "CP1_392" "CP2_392" "P7_392" "P8_392" "P4_392"
## [3704] "PO7_392" "Fz_392" "FCz_392" "Cz_392" "CPz_392" "Pz_392" "FC1_393"
## [3711] "CP1_393" "CP2_393" "P7_393" "P8_393" "P4_393" "PO7_393" "Fz_393"
## [3718] "FCz_393" "Cz_393" "CPz_393" "Pz_393" "FC1_394" "CP1_394" "CP2_394"
## [3725] "P7_394" "P8_394" "P4_394" "PO7_394" "Fz_394" "FCz_394" "Cz_394"
## [3732] "CPz_394" "Pz_394" "FC1_395" "CP1_395" "CP2_395" "P7_395" "P8_395"
## [3739] "P4_395" "PO7_395" "Fz_395" "FCz_395" "Cz_395" "CPz_395" "Pz_395"
## [3746] "CP1_396" "CP2_396" "P7_396" "P8_396" "P4_396" "PO7_396" "Fz_396"
## [3753] "FCz_396" "Cz_396" "CPz_396" "Pz_396" "CP1_397" "CP2_397" "P7_397"
## [3760] "P8_397" "P4_397" "PO7_397" "Fz_397" "FCz_397" "Cz_397" "CPz_397"
## [3767] "Pz_397" "CP1_398" "CP2_398" "P7_398" "P8_398" "P4_398" "PO7_398"
## [3774] "Fz_398" "FCz_398" "Cz_398" "CPz_398" "Pz_398" "CP1_399" "CP2_399"
## [3781] "P7_399" "P8_399" "P4_399" "PO7_399" "Fz_399" "FCz_399" "Cz_399"
## [3788] "CPz_399" "Pz_399" "CP1_400" "CP2_400" "P7_400" "P8_400" "P4_400"
## [3795] "PO7_400" "Cz_400" "CPz_400" "Pz_400" "CP1_401" "CP2_401" "P7_401"
## [3802] "P8_401" "P3_401" "P4_401" "PO7_401" "Cz_401" "CPz_401" "Pz_401"
## [3809] "CP1_402" "CP2_402" "P7_402" "P8_402" "P3_402" "P4_402" "PO7_402"
## [3816] "Cz_402" "CPz_402" "Pz_402" "CP1_403" "CP2_403" "P7_403" "P8_403"
## [3823] "P3_403" "P4_403" "PO7_403" "Fz_403" "Cz_403" "CPz_403" "Pz_403"
## [3830] "CP1_404" "CP2_404" "P7_404" "P8_404" "P3_404" "P4_404" "PO7_404"
## [3837] "Fz_404" "Cz_404" "CPz_404" "Pz_404" "T7_405" "CP1_405" "CP2_405"
## [3844] "P7_405" "P8_405" "P3_405" "P4_405" "PO7_405" "Fz_405" "FCz_405"
## [3851] "Cz_405" "CPz_405" "Pz_405" "FC1_406" "T7_406" "CP1_406" "CP2_406"
## [3858] "P7_406" "P8_406" "P3_406" "P4_406" "PO7_406" "Fz_406" "FCz_406"
## [3865] "Cz_406" "CPz_406" "Pz_406" "FC1_407" "T7_407" "CP1_407" "CP2_407"
## [3872] "P7_407" "P8_407" "P3_407" "P4_407" "PO7_407" "Fz_407" "FCz_407"
## [3879] "Cz_407" "CPz_407" "Pz_407" "FC1_408" "T7_408" "CP1_408" "CP2_408"
## [3886] "P7_408" "P8_408" "P3_408" "P4_408" "PO7_408" "Fz_408" "FCz_408"
## [3893] "Cz_408" "CPz_408" "Pz_408" "FC1_409" "T7_409" "CP1_409" "CP2_409"
## [3900] "P7_409" "P8_409" "P3_409" "P4_409" "PO7_409" "Fz_409" "FCz_409"
## [3907] "Cz_409" "CPz_409" "Pz_409" "FC1_410" "T7_410" "CP1_410" "CP2_410"
## [3914] "P7_410" "P8_410" "P3_410" "P4_410" "PO7_410" "Fz_410" "FCz_410"
## [3921] "Cz_410" "CPz_410" "Pz_410" "FC1_411" "T7_411" "CP1_411" "CP2_411"
## [3928] "P7_411" "P8_411" "P3_411" "P4_411" "PO7_411" "Fz_411" "FCz_411"
## [3935] "Cz_411" "CPz_411" "Pz_411" "FC1_412" "T7_412" "CP1_412" "CP2_412"
## [3942] "P7_412" "P8_412" "P3_412" "PO7_412" "Fz_412" "FCz_412" "Cz_412"
## [3949] "CPz_412" "Pz_412" "FC1_413" "T7_413" "CP1_413" "CP2_413" "P7_413"
## [3956] "P8_413" "P3_413" "PO7_413" "Fz_413" "FCz_413" "Cz_413" "CPz_413"
## [3963] "Pz_413" "FC1_414" "T7_414" "CP1_414" "CP2_414" "P7_414" "P8_414"
## [3970] "P3_414" "PO7_414" "Fz_414" "FCz_414" "Cz_414" "CPz_414" "Pz_414"
## [3977] "FC1_415" "T7_415" "CP1_415" "CP2_415" "P7_415" "P8_415" "P3_415"
## [3984] "PO7_415" "Fz_415" "FCz_415" "Cz_415" "CPz_415" "Pz_415" "FC1_416"
## [3991] "T7_416" "T8_416" "CP1_416" "CP2_416" "P7_416" "P8_416" "P3_416"
## [3998] "PO7_416" "Fz_416" "FCz_416" "Cz_416" "CPz_416" "Pz_416" "FC1_417"
## [4005] "T7_417" "T8_417" "CP1_417" "CP2_417" "P7_417" "P8_417" "P3_417"
## [4012] "PO7_417" "Fz_417" "FCz_417" "Cz_417" "CPz_417" "Pz_417" "FC1_418"
## [4019] "T7_418" "T8_418" "CP1_418" "CP2_418" "P7_418" "P8_418" "P3_418"
## [4026] "PO7_418" "Fz_418" "FCz_418" "Cz_418" "CPz_418" "Pz_418" "FC1_419"
## [4033] "T7_419" "T8_419" "CP1_419" "CP2_419" "P7_419" "P8_419" "P3_419"
## [4040] "PO7_419" "Fz_419" "Cz_419" "CPz_419" "Pz_419" "FC1_420" "T8_420"
## [4047] "CP1_420" "CP2_420" "P7_420" "P8_420" "P3_420" "Cz_420" "CPz_420"
## [4054] "Pz_420" "T8_421" "CP1_421" "CP2_421" "P7_421" "P8_421" "P3_421"
## [4061] "Cz_421" "CPz_421" "Pz_421" "T8_422" "CP1_422" "CP2_422" "P7_422"
## [4068] "P8_422" "P3_422" "Cz_422" "CPz_422" "Pz_422" "T8_423" "CP1_423"
## [4075] "CP2_423" "P7_423" "P8_423" "P3_423" "Cz_423" "CPz_423" "Pz_423"
## [4082] "T8_424" "CP1_424" "CP2_424" "P7_424" "P8_424" "P3_424" "Cz_424"
## [4089] "CPz_424" "Pz_424" "T8_425" "CP1_425" "CP2_425" "P7_425" "P8_425"
## [4096] "P3_425" "Cz_425" "CPz_425" "Pz_425" "T8_426" "CP1_426" "CP2_426"
## [4103] "P7_426" "P8_426" "P3_426" "Cz_426" "CPz_426" "Pz_426" "T8_427"
## [4110] "CP1_427" "CP2_427" "P7_427" "P8_427" "P3_427" "Cz_427" "CPz_427"
## [4117] "Pz_427" "T8_428" "CP1_428" "CP2_428" "P7_428" "P8_428" "P3_428"
## [4124] "Cz_428" "CPz_428" "Pz_428" "T8_429" "CP1_429" "CP2_429" "P7_429"
## [4131] "P8_429" "P3_429" "Cz_429" "CPz_429" "Pz_429" "CP1_430" "CP2_430"
## [4138] "P7_430" "P8_430" "P3_430" "Cz_430" "CPz_430" "Pz_430" "T7_431"
## [4145] "CP1_431" "CP2_431" "P7_431" "P8_431" "P3_431" "Cz_431" "CPz_431"
## [4152] "Pz_431" "T7_432" "CP1_432" "CP2_432" "P7_432" "P8_432" "P3_432"
## [4159] "Cz_432" "CPz_432" "Pz_432" "T7_433" "CP1_433" "CP2_433" "P7_433"
## [4166] "P8_433" "P3_433" "Cz_433" "CPz_433" "Pz_433" "CP1_434" "CP2_434"
## [4173] "P7_434" "P8_434" "P3_434" "Cz_434" "CPz_434" "Pz_434" "CP1_435"
## [4180] "CP2_435" "P7_435" "P8_435" "P3_435" "Cz_435" "CPz_435" "Pz_435"
## [4187] "CP1_436" "CP2_436" "P7_436" "P8_436" "P3_436" "Cz_436" "CPz_436"
## [4194] "Pz_436" "CP1_437" "CP2_437" "P7_437" "P8_437" "P3_437" "Cz_437"
## [4201] "CPz_437" "Pz_437" "CP1_438" "CP2_438" "P7_438" "P8_438" "P3_438"
## [4208] "Cz_438" "CPz_438" "Pz_438" "CP1_439" "CP2_439" "P7_439" "P8_439"
## [4215] "P3_439" "Cz_439" "CPz_439" "Pz_439" "CP1_440" "CP2_440" "P7_440"
## [4222] "P8_440" "P3_440" "P4_440" "Cz_440" "CPz_440" "Pz_440" "T7_441"
## [4229] "CP1_441" "CP2_441" "P7_441" "P8_441" "P3_441" "P4_441" "Cz_441"
## [4236] "CPz_441" "Pz_441" "T7_442" "CP1_442" "CP2_442" "P7_442" "P8_442"
## [4243] "P3_442" "P4_442" "Cz_442" "CPz_442" "Pz_442" "T7_443" "CP1_443"
## [4250] "CP2_443" "P7_443" "P8_443" "P3_443" "P4_443" "Cz_443" "CPz_443"
## [4257] "Pz_443" "T7_444" "CP1_444" "CP2_444" "P7_444" "P8_444" "P3_444"
## [4264] "P4_444" "Cz_444" "CPz_444" "Pz_444" "T7_445" "CP1_445" "CP2_445"
## [4271] "P7_445" "P8_445" "P3_445" "P4_445" "Cz_445" "CPz_445" "Pz_445"
## [4278] "T7_446" "CP1_446" "CP2_446" "P7_446" "P8_446" "P3_446" "P4_446"
## [4285] "Cz_446" "CPz_446" "Pz_446" "T7_447" "CP1_447" "CP2_447" "P7_447"
## [4292] "P8_447" "P3_447" "P4_447" "Cz_447" "CPz_447" "Pz_447" "T7_448"
## [4299] "CP1_448" "CP2_448" "P7_448" "P8_448" "P3_448" "P4_448" "Cz_448"
## [4306] "CPz_448" "Pz_448" "T7_449" "CP1_449" "CP2_449" "P7_449" "P8_449"
## [4313] "P3_449" "P4_449" "Cz_449" "CPz_449" "Pz_449" "CP1_450" "CP2_450"
## [4320] "P7_450" "P8_450" "P3_450" "P4_450" "Cz_450" "CPz_450" "Pz_450"
## [4327] "CP1_451" "CP2_451" "P7_451" "P8_451" "P3_451" "P4_451" "Cz_451"
## [4334] "CPz_451" "Pz_451" "CP1_452" "CP2_452" "P7_452" "P8_452" "P3_452"
## [4341] "P4_452" "Cz_452" "CPz_452" "Pz_452" "CP1_453" "CP2_453" "P7_453"
## [4348] "P8_453" "P3_453" "P4_453" "Cz_453" "CPz_453" "Pz_453" "CP1_454"
## [4355] "CP2_454" "P7_454" "P8_454" "P3_454" "P4_454" "Cz_454" "CPz_454"
## [4362] "Pz_454" "CP1_455" "CP2_455" "P7_455" "P8_455" "P3_455" "P4_455"
## [4369] "Cz_455" "CPz_455" "Pz_455" "T8_456" "CP1_456" "CP2_456" "P7_456"
## [4376] "P8_456" "P3_456" "P4_456" "Cz_456" "CPz_456" "Pz_456" "T8_457"
## [4383] "CP1_457" "CP2_457" "P7_457" "P8_457" "P3_457" "P4_457" "CPz_457"
## [4390] "Pz_457" "T8_458" "CP1_458" "CP2_458" "P7_458" "P8_458" "P3_458"
## [4397] "P4_458" "CPz_458" "Pz_458" "T8_459" "CP1_459" "CP2_459" "P7_459"
## [4404] "P8_459" "P3_459" "P4_459" "CPz_459" "Pz_459" "T8_460" "CP1_460"
## [4411] "CP2_460" "P7_460" "P8_460" "P3_460" "P4_460" "CPz_460" "Pz_460"
## [4418] "CP1_461" "CP2_461" "P7_461" "P8_461" "P3_461" "P4_461" "CPz_461"
## [4425] "Pz_461" "CP1_462" "CP2_462" "P7_462" "P8_462" "P3_462" "P4_462"
## [4432] "CPz_462" "Pz_462" "CP1_463" "CP2_463" "P7_463" "P8_463" "P3_463"
## [4439] "P4_463" "Cz_463" "CPz_463" "Pz_463" "T7_464" "CP1_464" "CP2_464"
## [4446] "P7_464" "P8_464" "P3_464" "P4_464" "Cz_464" "CPz_464" "Pz_464"
## [4453] "T7_465" "CP1_465" "CP2_465" "P7_465" "P8_465" "P3_465" "P4_465"
## [4460] "Cz_465" "CPz_465" "Pz_465" "T7_466" "CP1_466" "CP2_466" "P7_466"
## [4467] "P8_466" "P3_466" "P4_466" "Cz_466" "CPz_466" "Pz_466" "T7_467"
## [4474] "T8_467" "CP1_467" "CP2_467" "P7_467" "P8_467" "P3_467" "P4_467"
## [4481] "Cz_467" "CPz_467" "Pz_467" "T7_468" "T8_468" "CP1_468" "CP2_468"
## [4488] "P7_468" "P8_468" "P3_468" "P4_468" "Cz_468" "CPz_468" "Pz_468"
## [4495] "T8_469" "CP1_469" "CP2_469" "P7_469" "P8_469" "P3_469" "P4_469"
## [4502] "Cz_469" "CPz_469" "Pz_469" "T8_470" "CP1_470" "CP2_470" "P7_470"
## [4509] "P8_470" "P3_470" "P4_470" "Cz_470" "CPz_470" "Pz_470" "CP1_471"
## [4516] "CP2_471" "P7_471" "P8_471" "P3_471" "P4_471" "Cz_471" "CPz_471"
## [4523] "Pz_471" "CP1_472" "CP2_472" "P7_472" "P8_472" "P3_472" "P4_472"
## [4530] "Cz_472" "CPz_472" "Pz_472" "CP1_473" "CP2_473" "P7_473" "P8_473"
## [4537] "P3_473" "P4_473" "Cz_473" "CPz_473" "Pz_473" "CP1_474" "CP2_474"
## [4544] "P7_474" "P8_474" "P3_474" "P4_474" "Cz_474" "CPz_474" "Pz_474"
## [4551] "CP1_475" "CP2_475" "P7_475" "P8_475" "P3_475" "P4_475" "Cz_475"
## [4558] "CPz_475" "Pz_475" "CP1_476" "CP2_476" "P7_476" "P8_476" "P3_476"
## [4565] "P4_476" "Cz_476" "CPz_476" "Pz_476" "T8_477" "CP1_477" "CP2_477"
## [4572] "P7_477" "P8_477" "P3_477" "P4_477" "Cz_477" "CPz_477" "Pz_477"
## [4579] "T8_478" "CP1_478" "CP2_478" "P7_478" "P8_478" "P3_478" "P4_478"
## [4586] "Cz_478" "CPz_478" "Pz_478" "T7_479" "T8_479" "CP1_479" "CP2_479"
## [4593] "P7_479" "P8_479" "P3_479" "P4_479" "Cz_479" "CPz_479" "Pz_479"
## [4600] "T7_480" "T8_480" "CP1_480" "CP2_480" "P7_480" "P8_480" "P3_480"
## [4607] "P4_480" "Cz_480" "CPz_480" "Pz_480" "T7_481" "T8_481" "CP1_481"
## [4614] "CP2_481" "P7_481" "P8_481" "P3_481" "P4_481" "Cz_481" "CPz_481"
## [4621] "Pz_481" "T7_482" "T8_482" "CP1_482" "CP2_482" "P7_482" "P8_482"
## [4628] "P3_482" "P4_482" "Cz_482" "CPz_482" "Pz_482" "T7_483" "T8_483"
## [4635] "CP1_483" "CP2_483" "P7_483" "P8_483" "P3_483" "P4_483" "CPz_483"
## [4642] "Pz_483" "T7_484" "T8_484" "CP1_484" "CP2_484" "P7_484" "P8_484"
## [4649] "P3_484" "P4_484" "CPz_484" "Pz_484" "T7_485" "CP1_485" "CP2_485"
## [4656] "P7_485" "P8_485" "P3_485" "P4_485" "CPz_485" "Pz_485" "T7_486"
## [4663] "CP1_486" "CP2_486" "P7_486" "P8_486" "P3_486" "P4_486" "CPz_486"
## [4670] "Pz_486" "T7_487" "CP1_487" "CP2_487" "P7_487" "P8_487" "P3_487"
## [4677] "P4_487" "CPz_487" "Pz_487" "T7_488" "CP1_488" "CP2_488" "P7_488"
## [4684] "P8_488" "P3_488" "P4_488" "CPz_488" "Pz_488" "T7_489" "CP1_489"
## [4691] "CP2_489" "P7_489" "P8_489" "P3_489" "P4_489" "CPz_489" "Pz_489"
## [4698] "T7_490" "CP1_490" "CP2_490" "P7_490" "P8_490" "P3_490" "P4_490"
## [4705] "CPz_490" "Pz_490" "T7_491" "CP1_491" "CP2_491" "P7_491" "P8_491"
## [4712] "P3_491" "P4_491" "CPz_491" "Pz_491" "CP1_492" "CP2_492" "P7_492"
## [4719] "P8_492" "P3_492" "P4_492" "CPz_492" "Pz_492" "CP1_493" "CP2_493"
## [4726] "P7_493" "P8_493" "P3_493" "P4_493" "CPz_493" "Pz_493" "CP1_494"
## [4733] "CP2_494" "P7_494" "P8_494" "P3_494" "P4_494" "CPz_494" "Pz_494"
## [4740] "CP1_495" "CP2_495" "P7_495" "P8_495" "P3_495" "P4_495" "CPz_495"
## [4747] "Pz_495" "CP1_496" "CP2_496" "P7_496" "P8_496" "P3_496" "P4_496"
## [4754] "CPz_496" "Pz_496" "CP1_497" "CP2_497" "P7_497" "P8_497" "P3_497"
## [4761] "P4_497" "CPz_497" "Pz_497" "CP1_498" "CP2_498" "P7_498" "P8_498"
## [4768] "P3_498" "P4_498" "CPz_498" "Pz_498" "CP1_499" "CP2_499" "P7_499"
## [4775] "P8_499" "P3_499" "P4_499" "CPz_499" "Pz_499" "T7_500" "CP1_500"
## [4782] "CP2_500" "P7_500" "P8_500" "P3_500" "P4_500" "CPz_500" "Pz_500"
You can see the significant cluster (in red) at fixed time points (e.g. 160) using plot:
plot(model, samples = 160)
and the significant cluster over time and over channels using:
image(model)
where the significant clusters are represented in a colour-scale and the non-significant one in grey. The white pixels are tests which statistic are below the threshold.
However, our significant cluster (11) says only that at least one combination channels/time-points is different from \(0\), we don’t know how many combinations are significant (spatial specificity paradox). So, we can apply ARI to understand the lower bound of the number of true discovery proportion:
ARIeeg(model = model)
## ID Total clustermass pvalue False Null True Null Active Proportion
## [1,] 1 8 4.824842e+01 0.9956 0 8 0.0000000
## [2,] 2 8 5.655352e+01 0.9928 0 8 0.0000000
## [3,] 3 4 2.161425e+01 0.9998 0 4 0.0000000
## [4,] 4 1 4.595571e+00 1.0000 0 1 0.0000000
## [5,] 5 2 9.160799e+00 1.0000 0 2 0.0000000
## [6,] 6 3 1.727826e+01 1.0000 0 3 0.0000000
## [7,] 7 2 9.953708e+00 1.0000 0 2 0.0000000
## [8,] 8 4 2.247954e+01 0.9998 0 4 0.0000000
## [9,] 9 4 1.841798e+01 0.9998 0 4 0.0000000
## [10,] 10 1 5.834359e+00 1.0000 0 1 0.0000000
## [11,] 11 5 3.514078e+01 0.9984 0 5 0.0000000
## [12,] 12 5 3.062193e+01 0.9992 0 5 0.0000000
## [13,] 13 3 1.562175e+01 1.0000 0 3 0.0000000
## [14,] 14 3 1.855438e+01 0.9998 0 3 0.0000000
## [15,] 15 2 1.046127e+01 1.0000 0 2 0.0000000
## [16,] 16 2 1.091898e+01 1.0000 0 2 0.0000000
## [17,] 17 13 9.673299e+01 0.9742 0 13 0.0000000
## [18,] 18 16 9.924648e+01 0.9730 0 16 0.0000000
## [19,] 19 3 1.701493e+01 1.0000 0 3 0.0000000
## [20,] 20 4 2.614448e+01 0.9992 0 4 0.0000000
## [21,] 21 10 7.604927e+01 0.9846 0 10 0.0000000
## [22,] 22 26 1.750308e+02 0.9306 0 26 0.0000000
## [23,] 23 17 1.039216e+02 0.9710 0 17 0.0000000
## [24,] 24 35 2.762222e+02 0.8670 0 35 0.0000000
## [25,] 25 3 1.367199e+01 1.0000 0 3 0.0000000
## [26,] 26 2 9.355923e+00 1.0000 0 2 0.0000000
## [27,] 27 27 1.703500e+02 0.9340 0 27 0.0000000
## [28,] 28 5 2.598810e+01 0.9992 0 5 0.0000000
## [29,] 29 6 3.007729e+01 0.9992 0 6 0.0000000
## [30,] 30 4 1.807287e+01 0.9998 0 4 0.0000000
## [31,] 31 3 1.823876e+01 0.9998 0 3 0.0000000
## [32,] 32 4788 1.041780e+05 0.0002 759 4029 0.1585213
## [33,] 33 54 4.224551e+02 0.7798 0 54 0.0000000
## [34,] 34 5 3.646500e+01 0.9982 0 5 0.0000000
## [35,] 35 2 9.661613e+00 1.0000 0 2 0.0000000
## [36,] 36 7 5.632912e+01 0.9930 0 7 0.0000000
## [37,] 37 6 3.530033e+01 0.9984 0 6 0.0000000
## [38,] 38 2 9.153198e+00 1.0000 0 2 0.0000000
## [39,] 39 5 2.908355e+01 0.9992 0 5 0.0000000
## [40,] 40 8 6.388484e+01 0.9906 0 8 0.0000000
## [41,] 41 14 8.033085e+01 0.9834 0 14 0.0000000
So, we have at least \(15\%\) truly active component in the cluster \(32\).
Maris, E., & Oostenveld, R. (2007). Nonparametric statistical testing of EEG-and MEG-data. Journal of neuroscience methods, 164(1), 177-190.
Kherad-Pajouh, S., & Renaud, O. (2015). A general permutation approach for analyzing repeated measures ANOVA and mixed-model designs. Statistical Papers, 56(4), 947-967.
Frossard, J. (2019). Permutation tests and multiple comparisons in the linear models and mixed linear models, with extension to experiments using electroencephalography. DOI: 10.13097/archive-ouverte/unige:125617.
Frossard, J. & O. Renaud (2018). Permuco: Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals. R Packages.